Braunschweig, B., Buijsman, S., Chamroukhi, F., Heintz, F., Khomh, F., Mattioli, J., & Poretschkin, M. (2024). AITA: AI trustworthiness assessment. AI and Ethics, 4(1), 1-3.
Directory of Experts
Khomh, Foutse

Directory of Experts
Khomh, Foutse
Directory of Experts
Publications by type
Journal article (111)
Conference paper (164)
Book (2)
Book chapter (8)
Patent
Report (11)
Thesis
Dataset (12)
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Foutse Khomh (308)
- Journal articles (111)
- 2024
Journal article Journal article Openja, M., Khomh, F., Foundjem, A., Jiang, Z. M., Abidi, M., & Hassan, A. E. (2024). An empirical study of testing machine learning in the wild. ACM Transactions on Software Engineering and Methodology.Journal article Morovati, M. M., Nikanjam, A., Tambon, F., Khomh, F., & Jiang, Z. M. (2024). Bug characterization in machine learning-based systems. Empirical Software Engineering, 29(1), 14 (29 pages).Journal article Wu, X., Laufer, E., Li, H., Khomh, F., Srinivasan, S., & Luo, J. (2024). Characterizing and classifying developer forum posts with their intentions. Empirical Software Engineering, 29(4), 84 (34 pages).Journal article Morovati, M. M., Tambon, F., Taraghi, M., Nikanjam, A., & Khomh, F. (2024). Common challenges of deep reinforcement learning applications development: an empirical study. Empirical Software Engineering, 29, 95 (33 pages).Journal article Muse, B. A., Nafi, K. W., Khomh, F., & Antoniol, G. (2024). Data-access performance anti-patterns in data-intensive systems. Empirical Software Engineering, 29, 144 (35 pages).Journal article Côté, P.-O., Nikanjam, A., Ahmed, N., Humeniuk, D., & Khomh, F. (2024). Data cleaning and machine learning: a systematic literature review. Automated Software Engineering, 31(2), 54 (75 pages).Journal article Abidi, M., Rahman, M.S., Openja, M., & Khomh, F. (2024). Design smells in multi-language systems and bug-proneness: a survival analysis. Empirical Software Engineering, 29, 106 (42 pages).Journal article Openja, M., Laberge, G., & Khomh, F. (2024). Detection and evaluation of bias-inducing features in machine learning. Empirical Software Engineering, 29(1), 71 pages.Journal article Dakhel, A. M., Nikanjam, A., Majdinasab, V., Khomh, F., & Desmarais, M. C. (2024). Effective test generation using pre-trained Large Language Models and mutation testing. Information and Software Technology, 171, 107468 (17 pages).Journal article Russo, D., Baltes, S., van Berkel, N., Avgeriou, P., Calefato, F., Cabrero-Daniel, B., Catolino, G., Cito, J., Ernst, N., Fritz, T., Hata, H., Holmes, R., Izadi, M., Khomh, F., Kjaergaard, M. B., Liebel, G., Lafuente, A. L., Lambiase, S., Maalej, W., ... Vasilescu, B. (2024). Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. Journal of Systems and Software, 216, 112115 (2 pages).Journal article Mindom, P. S. N., Nikanjam, A., & Khomh, F. (2024). Harnessing pre-trained generalist agents for software engineering tasks. Empirical Software Engineering, 30(1).Journal article Humeniuk, D., Braiek, H. B., Reid, T., & Khomh, F. (2024). In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators.Journal article Tambon, F., Khomh, F., & Antoniol, G. (2024). <i>GIST</i> : Generated Inputs Sets Transferability in Deep Learning. ACM Transactions on Software Engineering and Methodology, -.Journal article Oueslati, K., Laberge, G., Lamothe, M., & Khomh, F. (2024). Mining Action Rules for Defect Reduction Planning. Proceedings of the ACM on Software Engineering, 1(FSE), 2309-2331.Journal article Côté, P.-O., Nikanjam, A., Bouchoucha, R., Basta, I., Abidi, M., & Khomh, F. (2024). Quality issues in machine learning software systems. Empirical Software Engineering, 29(6), 149 (47 pages).Journal article Humeniuk, D., Khomh, F., & Antoniol, G. (2024). Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing. ACM Transactions on Software Engineering and Methodology.Journal article Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (2024). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM Transactions on Software Engineering and Methodology.Journal article Tambon, F., Nikanjam, A., An, L., Khomh, F., & Antoniol, G. (2024). Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empirical Software Engineering, 29(1), 10 (34 pages).Journal article Foalem, P. L., Khomh, F., & Li, H. (2024). Studying logging practice in machine learning-based applications. Information and Software Technology, 170, 107450 (17 pages).Journal article Shah, M. B., Rahman, M. M., & Khomh, F. (2024). Towards enhancing the reproducibility of deep learning bugs: an empirical study. Empirical Software Engineering, 30(1), -.Journal article Majdinasab, V., Nikanjam, A., & Khomh, F. (2024). Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code. ACM Transactions on Software Engineering and Methodology.Journal article Berhe, S., Khan, V., Khan, O., Pader, N., Farooqi, A. Z., Maynard, M., & Khomh, F. (2024). Triage Software Update Impact via Release Notes Classification. Procedia Computer Science, 238, 618-622.Journal article Mahu, A., Singh, A., Tambon, F., Ouellette, B., Delisle, J.-, Paul, T., Khomh, F., Marois, A., & Doyon-Poulin, P. (2024). Validation of Vigilance Decline Capability in A Simulated Test Environment: A Preliminary Step Towards Neuroadaptive Control. AHFE international, 126, 45-59.
- 2023
Journal article Nouwou Mindom, P. S., Nikanjam, A., & Khomh, F. (2023). A comparison of reinforcement learning frameworks for software testing tasks. Empirical Software Engineering, 28(5), 111 (76 pages).Journal article Chembakottu, B., Li, H., & Khomh, F. (2023). A large-scale exploratory study of android sports apps in the google play store. Information and Software Technology, 164, 107321 (18 pages).Journal article Humeniuk, D., Khomh, F., & Antoniol, G. (2023). AmbieGen: A search-based framework for autonomous systems testing. Science of Computer Programming, 230, 102990 (10 pages).Journal article Tambon, F., Khomh, F., & Antoniol, G. (2023). A probabilistic framework for mutation testing in deep neural networks. Information and Software Technology, 155, 107129 (13 pages).Journal article Morovati, M. M., Nikanjam, A., Khomh, F., & Jiang, Z. M. (2023). Bugs in machine learning-based systems: a faultload benchmark. Empirical Software Engineering, 28(3), 33 pages.Journal article Badran, K., Cote, P.-O., Kolopanis, A., Bouchoucha, R., Collante, A., Costa, D. E., Shihab, E., & Khomh, F. (2023). Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? Computer, 56(4), 71-79.Journal article Dakhel, A. M., Desmarais, M. C., & Khomh, F. (2023). Dev2vec: Representing domain expertise of developers in an embedding space. Information and Software Technology, 159, 12 pages.Journal article Dakhel, A. M., Majdinasab, V., Nikanjam, A., Khomh, F., Desmarais, M. C., & Jiang, Z. M. (2023). GitHub Copilot AI pair programmer: Asset or Liability? Journal of Systems and Software, 203, 111734 (23 pages).Journal article Hooshyar, H., Guerra, E., Melegati, J., Khanna, D., Aldaeej, A., Matturro, G., Zaina, L., Greer, D., Rafiq, U., Chanin, R., Wang, X., Garbajosa, J., Abrahamsson, P., Khomh, F., & Nguyen-Duc, A. (2023). Impact in Software Engineering Activities After One Year of COVID-19 Restrictions for Startups and Established Companies. IEEE Access, 11, 55178-55203.Journal article Rahman, M. S., Khomh, F., Hamidi, A., Cheng, J., Antoniol, G., & Washizaki, H. (2023). Machine learning application development: practitioners insights. Software Quality Journal, 55 pages.Journal article Wu, X., Li, H., & Khomh, F. (2023). On the effectiveness of log representation for log-based anomaly detection. Empirical Software Engineering, 28(6), 137 (39 pages).Journal article Laberge, G., Pequignot, Y., Mathieu, A., Khomh, F., & Marchand, M. (2023). Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set. Journal of Machine Learning Research, 24(364), 50 pages.Journal article Muse, B. A., Khomh, F., & Antoniol, G. (2023). Refactoring practices in the context of data-intensive systems. Empirical Software Engineering, 28(2), 46 (66 pages).Journal article Bouchoucha, R., Braiek, H. B., Khomh, F., Bouzidi, S., & Zaatour, R. (2023). Robustness assessment of hyperspectral image CNNs using metamorphic testing. Information and Software Technology, 162, 10 pages.Journal article Yousefifeshki, F., Li, H., & Khomh, F. (2023). Studying the challenges of developing hardware description language programs. Information and Software Technology, 159, 16 pages.Journal article Aghili, R., Li, H., & Khomh, F. (2023). Studying the characteristics of AIOps projects on GitHub. Empirical Software Engineering, 28(6), 143 (49 pages).Journal article Biagiola, M., Cardozo, N., Shin, D., Khomh, F., Stocco, A., & Riccio, V. (2023). Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). ACM SIGSOFT Software Engineering Notes, 48(4), 39-40.Journal article Ben Braiek, H., & Khomh, F. (2023). Testing Feedforward Neural Networks Training Programs. ACM Transactions on Software Engineering and Methodology, 32(4), 1-61.Journal article Nardone, V., Muse, B. A., Abidi, M., Khomh, F., & Di Penta, M. (2023). Video Game Bad Smells: What They Are and How Developers Perceive Them. ACM Transactions on Software Engineering and Methodology, 32(4), 1-35.
- 2022
Journal article Uddin, G., Guéhénuc, Y.-G., Khomh, F., & Roy, C. K. (2022). An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets. ACM Transactions on Software Engineering and Methodology, 31(3), 1-38.Journal article Humeniuk, D., Khomh, F., & Antoniol, G. (2022). A search-based framework for automatic generation of testing environments for cyber-physical systems. Information and Software Technology, 149, 106936 (17 pages).Journal article Nikanjam, A., Ben Braiek, H., Morovati, M. M., & Khomh, F. (2022). Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. ACM Transactions on Software Engineering and Methodology, 31(1), 1-27.Journal article Jebnoun, H., Rahman, M. S., Khomh, F., & Muse, B. A. (2022). Clones in deep learning code: what, where, and why? Empirical Software Engineering, 27(4).Journal article Yahmed, A. H., Ben Braiek, H., Khomh, F., Bouzidi, S., & Zaatour, R. (2022). DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment. Empirical Software Engineering, 27(7), 193 (32 pages).Journal article Nikanjam, A., Morovati, M. M., Khomh, F., & Ben Braiek, H. (2022). Faults in deep reinforcement learning programs: a taxonomy and a detection approach. Automated Software Engineering, 29(1), 8 (32 pages).Journal article Muse, B. A., Nagy, C., Cleve, A., Khomh, F., & Antoniol, G. (2022). FIXME: synchronize with database! An empirical study of data access self-admitted technical debt. Empirical Software Engineering, 27(6), 42 pages.Journal article Tambon, F., Laberge, G., An, L., Nikanjam, A., Mindom, P. S. N., Pequignot, Y., Khomh, F., Antoniol, G., Merlo, E., & Laviolette, F. (2022). How to certify machine learning based safety-critical systems? A systematic literature review. Automated Software Engineering, 29(2).Journal article Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2022). Multi-language design smells: a backstage perspective. Empirical Software Engineering, 27(5), 52 pages.Journal article Ben Braiek, H., Reid, T., & Khomh, F. (2022). Physics-guided adversarial machine learning for aircraft systems simulation. IEEE Transactions on Reliability, 72(3), 1161-1175.Journal article Washizaki, H., Khomh, F., Gueheneuc, Y. G., Takeuchi, H., Natori, N., Doi, T., & Okuda, S. (2022). Software-Engineering Design Patterns for Machine Learning Applications. Computer, 55(3), 30-39.Journal article Openja, M., Morovati, M. M., An, L., Khomh, F., & Abidi, M. (2022). Technical debts and faults in open-source quantum software systems: An empirical study. Journal of Systems and Software, 193, 28 pages.Journal article Tidjon, L. N., & Khomh, F. (2022). The different faces of AI ethics acrosse the world : a principle-to-pratice gap analysis. IEEE Transactions on Artificial Intelligence, 4(4), 820-839.Journal article Rahman, M. M., Khomh, F., & Castelluccio, M. (2022). Works for me! Cannot reproduce: A large scale empirical study of non-reproducible bugs. Empirical Software Engineering, 27(5), 111 (45 pages).
- 2021
Journal article Uddin, G., Sabir, F., Gueheneuc, Y. G., Alam, O., & Khomh, F. (2021). An empirical study of IoT topics in IoT developer discussions on Stack Overflow. Empirical Software Engineering, 26(6), 121 (45 pages).Journal article Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2021). Are Multi-Language Design Smells Fault-Prone? An Empirical Study. ACM Transactions on Software Engineering and Methodology, 30(3), 1-56.Journal article Uddin, G., Khomh, F., & Roy, C. K. (2021). Automatic API Usage Scenario Documentation from Technical Q&A Sites. ACM Transactions on Software Engineering and Methodology, 30(3), 1-45.Journal article Uddin, G., & Khomh, F. (2021). Automatic Mining of Opinions Expressed About APIs in Stack Overflow. IEEE Transactions on Software Engineering, 47(3), 522-559.Journal article Silva, R. F., Rahman, M. M., Dantas, C. E., Roy, C., Khomh, F., & Maia, M. A. (2021). Improved retrieval of programming solutions with code examples using a multi-featured score. Journal of Systems and Software, 181, 14 pages.Journal article Kermansaravi, Z. A., Rahman, M. S., Khomh, F., Jaafar, F., & Guéhéneuc, Y.-G. (2021). Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness. Empirical Software Engineering, 26(1), 47 pages.Journal article Thongtanunam, P., Rastogi, A., Khomh, F., Demeyer, S., Nagappan, M., Blincoe, K., & Robles, G. (2021). Shadow Program Committee Initiative: Process and Reflection. ACM SIGSOFT Software Engineering Notes, 46(4), 16-18.Journal article Rahman, M. M., Khomh, F., Yeasmin, S., & Roy, C. K. (2021). The forgotten role of search queries in IR-based bug localization: an empirical study. Empirical Software Engineering, 26(6), 116 (56 pages).Journal article Uddin, G., Baysal, O., Guerrouj, L., & Khomh, F. (2021). Understanding How and Why Developers Seek and Analyze API-related Opinions. IEEE Transactions on Software Engineering, 47(4), 694-735.Journal article Aly, M., Khomh, F., & Yacout, S. (2021). What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions. Internet of Things, 14, 100364.Journal article Barrak, A., Eghan, E. E., Adams, B., & Khomh, F. (2021). Why do builds fail? A conceptual replication study. Journal of Systems and Software, 177, 15 pages.
- 2020
Journal article Soualhia, M., Khomh, F., & Tahar, S. (2020). A Dynamic and Failure-aware Task Scheduling Framework for Hadoop. IEEE Transactions on Cloud Computing, 8(2), 553-569.Journal article Politowski, C., Khomh, F., Romano, S., Scanniello, G., Petrillo, F., Guéhéneuc, Y.-G., & Maiga, A. (2020). A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension. Information and Software Technology, 122, 14 pages.Journal article Barbez, A., Khomh, F., & Guéhéneuc, Y.-G. (2020). A machine-learning based ensemble method for anti-patterns detection. Journal of Systems and Software, 161, 11 pages.Journal article Verdi, M., Sami, A., Akhondali, J., Khomh, F., Uddin, G., & Karami Motlagh, A. (2020). An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. IEEE Transactions on Software Engineering, 48(5), 1497-1514.Journal article Uddin, G., Khomh, F., & Roy, C. K. (2020). Mining API usage scenarios from stack overflow. Information and Software Technology, 122, 16 pages.Journal article Ben Braiek, H., & Khomh, F. (2020). On testing machine learning programs. Journal of Systems and Software, 164, 110542 (18 pages).Journal article Morales, R., Khomh, F., & Antoniol, G. (2020). RePOR: Mimicking humans on refactoring tasks. Are we there yet? Empirical Software Engineering, 25(4), 2960-2996.Journal article Adams, B., & Khomh, F. (2020). The Diversity Crisis of Software Engineering for Artificial Intelligence. IEEE Software, 37(5), 104-108.Journal article Xu, B., An, L., Thung, F., Khomh, F., & Lo, D. (2020). Why reinventing the wheels? An empirical study on library reuse and re-implementation. Empirical Software Engineering, 25(1), 755-789.
- 2019
Journal article Johannes, D., Khomh, F., & Antoniol, G. (2019). A large-scale empirical study of code smells in JavaScript projects. Software Quality Journal, 27(3), 1271-1314.Journal article An, L., Castelluccio, M., & Khomh, F. (2019). An empirical study of DLL injection bugs in the Firefox ecosystem. Empirical Software Engineering, 24(4), 1799-1822.Journal article Asri, I. E., Kerzazi, N., Uddin, G., Khomh, F., & Janati Idrissi, M. A. (2019). An empirical study of sentiments in code reviews. Information and Software Technology, 114, 37-54.Journal article Aly, M., Khomh, F., Haoues, M., Quintero, A., & Yacout, S. (2019). Enforcing security in Internet of Things frameworks: A Systematic Literature Review. Internet of Things, 6, 100050 (24 pages).Journal article Aly, M., Khomh, F., Guéhéneuc, Y.-G., Washizaki, H., & Yacout, S. (2019). Is fragmentation a threat to the success of the Internet of things? IEEE Internet of Things Journal, 6(1), 472-487.Journal article Petrillo, F., Guéhéneuc, Y.-G., Pimenta, M., Freitas, C. D. S., & Khomh, F. (2019). Swarm debugging: The collective intelligence on interactive debugging. Journal of Systems and Software, 153, 152-174.
- 2018
Journal article Saborido, R., Khomh, F., Hindle, A., & Alba, E. (2018). An app performance optimization advisor for mobile device app marketplaces. Sustainable Computing: Informatics and Systems, 19, 29-42.Journal article An, L., Khomh, F., & Guéhéneuc, Y.-G. (2018). An empirical study of crash-inducing commits in Mozilla Firefox. Software Quality Journal, 26(2), 553-584.Journal article Castelluccio, M., An, L., & Khomh, F. (2018). An empirical study of patch uplift in rapid release development pipelines. Empirical Software Engineering, 24(5), 3008-3044.Journal article Barbour, L., An, L., Khomh, F., Zou, Y., & Wang, S. (2018). An investigation of the fault-proneness of clone evolutionary patterns. Software Quality Journal, 26(4), 1187-1222.Journal article Morales, R., Saborido, R., Khomh, F., Chicano, F., & Antoniol, G. (2018). EARMO: An Energy-Aware Refactoring Approach for Mobile Apps. IEEE Transactions on Software Engineering, 44(12), 1176-1206.Journal article Morales, R., Chicano, F., Khomh, F., & Antoniol, G. (2018). Efficient refactoring scheduling based on partial order reduction. Journal of Systems and Software, 145, 25-51.Journal article Morales, R., Chicano, F., Khomh, F., & Antoniol, G. (2018). Exact search-space size for the refactoring scheduling problem. Automated Software Engineering, 25(2), 195-200.Journal article Saborido, R., Morales, R., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2018). Getting the most from map data structures in Android. Empirical Software Engineering, 23(5), 2829-2864.Journal article Soh, Z., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2018). Noise in Mylyn interaction traces and its impact on developers and recommendation systems. Empirical Software Engineering Journal, 23(2), 645-692.Journal article Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (2018). ProMeTA: A taxonomy for program metamodels in program reverse engineering. Empirical Software Engineering, 23(4), 2323-2358.Journal article Adams, B., Bellomo, S., Bird, C., Debic, B., Khomh, F., Moir, K., & Oduinn, J. (2018). Release engineering 3.0. IEEE Software, 35(2), 22-25.Journal article Khomh, F., Adams, B., Cheng, J., Fokaefs, M.-E., & Antoniol, G. (2018). Software Engineering for Machine-Learning Applications: The Road Ahead. IEEE Software, 35(5), 81-84.Journal article Khomh, F., & Abtahizadeh, S. A. (2018). Understanding the impact of cloud patterns on performance and energy consumption. Journal of Systems and Software, 141, 151-170.
- 2017
Journal article Khomh, F., Lo, D., & Godfrey, M. W. (2017). Guest Editor's Introduction to the Special Issue on Source Code Analysis and Manipulation (SCAM 2015). Journal of Software: Evolution and Process, 29(12), 2 pages.Journal article Guerrouj, L., Kermansaravi, Z., Arnaoudova, V., Fung, B. C. M., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2017). Investigating the relation between lexical smells and change- and fault-proneness: an empirical study. Software Quality Journal, 25(3), 641-670.Journal article Morales, R., Soh, Z., Khomh, F., Antoniol, G., & Chicano, F. (2017). On the use of developers' context for automatic refactoring of software anti-patterns. Journal of Systems and Software, 128, 236-251.Journal article Soualhia, M., Khomh, F., & Tahar, S. (2017). Task Scheduling in Big Data Platforms: A Systematic Literature Review. Journal of Systems and Software, 134(Supplement), 170-189.
- 2016
Journal article Wang, S., Khomh, F., & Zou, Y. (2016). Improving bug management using correlations in crash reports. Empirical Software Engineering, 21(2), 337-367.
- 2015
Journal article Upadhyaya, B., Zou, Y., & Khomh, F. (2015). An approach to extract RESTful services from web applications. International Journal of Business Process Integration and Management, 7(3), 213-227.Journal article Wu, W., Khomh, F., Adams, B., Guéhéneuc, Y.-G., & Antoniol, G. (2015). An exploratory study of API changes and usages based on Apache and Eclipse ecosystems. Empirical Software Engineering, 21(6), 2366-2412.Journal article Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., Khomh, F., & Zulkernine, M. (2015). Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults. Empirical Software Engineering, 21(3), 896-931.Journal article Mäntylä, M. V., Adams, B., Khomh, F., Engström, E., & Petersen, K. (2015). On rapid releases and software testing: a case study and a semi-systematic literature review. Empirical Software Engineering, 20(5), 1384-1425.Journal article Adams, B., Bellomo, S., Bird, C., Marshall-Keim, T., Khomh, F., & Moir, K. (2015). The practice and future of release engineering: A roundtable with three release engineers. IEEE Software, 32(2), 42-49.Journal article Khomh, F., Adams, B., Dhaliwal, T., & Zou, Y. (2015). Understanding the impact of rapid releases on software quality : the case of Firefox. Empirical Software Engineering, 20(2), 336-373.
- 2014
Journal article Zhang, F., Khomh, F., Zou, Y., & Hassan, A. E. (2014). An empirical study of the effect of file editing patterns on software quality. Journal of Software: Evolution and Process, 26(11), 996-1029.
- 2013
Journal article Barbour, L., Khomh, F., & Zou, Y. (2013). An empirical study of faults in late propagation clone genealogies. Journal of Software: Evolution and Process, 25(11), 1139-1165.
- 2012
Journal article Khomh, F., Di Penta, M., Guéhéneuc, Y.-G., & Antoniol, G. (2012). An Exploratory Study of the Impact of Antipatterns on Class Change- and Fault-Proneness. Empirical Software Engineering, 17(3), 243-275.
- 2011
Journal article Khomh, F., Vaucher, S., Guéhéneuc, Y.-G., & Sahraoui, H. (2011). BDTEX: A GQM-based Bayesian approach for the detection of antipatterns. Journal of Systems and Software, 84(4), 559-572.
- 2024
- Conference papers (164)
- 2024
Conference paper Humeniuk, D., & Khomh, F. (2024, April). AmbieGen at the SBFT 2024 Tool Competition-CPS-UAV Track [Paper]. 17th International Workshop on Search-Based and Fuzz Testing (SBFT 2024), Lisbon, Portugal.Conference paper Humeniuk, D., & Khomh, F. (2024, April). AmbieGenVAE at the SBFT 2024 Tool Competition - Cyber-Physical Systems Track [Paper]. 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, Lisbon, Portugal.Conference paper Majdinasab, V., Bishop, M. J., Rasheed, S., Moradidakhel, A., Tahir, A., & Khomh, F. (2024, March). Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study [Paper]. 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland.Conference paper Kouemo Ngassom, S., Moradi Dakhel, A., Tambon, F., & Khomh, F. (2024, July). Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs [Paper]. 1st ACM International Conference on AI-Powered Software (ALWARE 2024), Porto de Galinhas, Brazil.Conference paper Taraghi, M., Dorcelus, G., Foundjem, A., Tambon, F., & Khomh, F. (2024, March). Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends [Paper]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland.Conference paper Jamshidi, S., Amirnia, A., Nikanjam, A., & Khomh, F. (2024, April). Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning [Paper]. 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2024) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40 2024), Hasselt, Belgium. Published in Procedia Computer Science, 238.Conference paper Pigeon, J., Khomh, F., Boudreault, R., Ashraf, A., & Maghoul, P. (2024, April). LIBS-Raman Multimodal Architecture for Automated Lunar Prospecting [Paper]. 19th Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, Miami, Florida, USA.Conference paper Zid, C., Belias, F., Di Penta, M., Khomh, F., & Antoniol, G. (2024, March). List Comprehension Versus for Loops Performance in Real Python Projects: Should we Care? [Paper]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland.Conference paper Abukhalaf, S., Hamdaqa, M., & Khomh, F. (2024, April). PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4 [Paper]. 1st IEEE/ACM International Conference on AI Foundation Models and Software Engineering (FORGE 2024), Lisbon, Portugal.Conference paper Wu, X., Li, H., Yoshioka, N., Washizaki, H., & Khomh, F. (2024, March). Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection [Paper]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland.Conference paper Laberge, G., Pequignot, Y., Marchand, M., & Khomh, F. (2024, May). Tackling the XAI Disagreement Problem with Regional Explanations [Paper]. 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain.Conference paper Rezgui, J., Jobin, F., Kechout, Y., Turgeon, C., & Khomh, F. (2024, May). Towards a reliable french speech recognition tool for an automated diagnosis of learning disabilities [Paper]. 2024 International Conference on Smart Applications, Communications and Networking (SmartNets 2024), Harrisonburg, VA, USA (6 pages).
- 2023
Conference paper Pan, W., Washizaki, H., Yoshioka, N., Fukazawa, Y., Khomh, F., & Guéhéneuc, Y.-G. (2023, December). A Machine Learning Based Approach to Detect Machine Learning Design Patterns [Paper]. 30th Asia-Pacific Software Engineering Conference (APSEC 2023), Seoul, Korea, Republic of Seoul.Conference paper Yin Ho, S. C., Majdinasab, V., Islam, M., Costa, D. E., Shihab, E., Khomh, F., Nadi, S., & Raza, M. (2023, October). An Empirical Study on Bugs Inside PyTorch: A Replication Study [Paper]. 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Colombia.Conference paper Yahmed, A. H., Bouchoucha, R., Ben Braiek, H., & Khomh, F. (2023, September). An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems [Paper]. 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Echternach, Luxembourg.Conference paper Qasse, I., Mishra, S., Jonsson, B. þ., Khomh, F., & Hamdaqa, M. (2023, July). Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts [Paper]. IEEE International Conference on Software Services Engineering (SSE 2023), Chicago, IL, USA.Conference paper Yahmed, A. H., Allah Abbassi, A., Nikanjam, A., Li, H., & Khomh, F. (2023, October). Deploying deep reinforcement learning systems: a taxonomy of challenges [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Colombia.Conference paper Khomh, F. (2023, December). Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development [Abstract]. 19th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2023), San Francisco, CA, USA (1 page).Conference paper Berhe, S., Maynard, M., & Khomh, F. (2023, March). Maintenance Cost of Software Ecosystem Updates [Paper]. 6th International Conference on Emerging Data and Industry 4.0 (EDI40 2023), Leuven, Belgium. Published in Procedia Computer Science, 220.Conference paper Tambon, F., Majfinasab, V., Nikanjam, A., Khomh, F., & Antoniol, G. (2023, April). Mutation testing of deep reinforcement learning based on real faults [Paper]. 16th IEEE Conference on Software Testing, Verification and Validation (ICST 2023), Dublin, Ireland.Conference paper Abukhalaf, S., Hamdaqa, M., & Khomh, F. On Codex Prompt Engineering for OCL Generation: An Empirical Study [Paper]. 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR 2023), Melbourne, Australia.Conference paper Humeniuk, D., Khomh, F., & Antoniol, G. RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track [Paper]. 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT 2023), Melbourne, Australia.Conference paper Bosco, M., Cavoto, P., Ungolo, A., Muse, B. A., Khomh, F., Nardone, V., & Di Penta, M. UnityLint: A Bad Smell Detector for Unity [Paper]. 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC 2023), Melbourne, Australia.
- 2022
Conference paper Humeniuk, D., Antoniol, G., & Khomh, F. (2022, May). ***AmbieGen tool at the SBST 2022 Tool Competition [Paper]. 15th Search-Based Software Testing Workshop (SBST 2022).Conference paper Openja, M., Nikanjam, A., Yahmed, A. H., Khomh, F., & Jiang, Z. M. J. (2022, October). An Empirical Study of Challenges in Converting Deep Learning Models [Paper]. 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus.Conference paper Majidi, F., Openja, M., Khomh, F., & Li, H. (2022, October). An Empirical Study on the Usage of Automated Machine Learning Tools [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus.Conference paper Rahman, M. S., Khomh, F., Rivera, E., Guéhéneuc, Y.-G., & Lehnert, B. (2022, May). Challenges in machine learning application development : an industrial experience report [Paper]. IEEE/ACM 1st International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI 2022), Pittsburgh, PA, USA.Conference paper Khomh, F. (2022, November). Data quality and model under-specification issues (keynote) [Paper]. 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022), Singapore (2 pages).Conference paper Muse, B. A., Khomh, F., & Antoniol, G. (2022, March). Do developers refactor data access code? An empirical study [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA.Conference paper Marhaba, M., Merlo, E., Khomh, F., & Antoniol, G. (2022, May). Identification of out-of-distribution cases of CNN using class-based surprise adequacy [Paper]. IEEE/ACM 1st International Conference on AI Engineering - Software Engineering for AI (CAIN 2022), Pittsburgh, PA, USA.Conference paper Ramkisoen, P. K., Businge, J., Van Bladel, B., Decan, A., Demeyer, S., De Roover, C., & Khomh, F. (2022, November). PaReco: patched clones and missed patches among the divergent variants of a software family [Paper]. 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), Singapore, Singapore.Conference paper Ikama, A., Du, V., Belias, P., Muse, B. A., Khomh, F., & Hamdaqa, M. (2022, October). Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication [Paper]. 22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2022), Limassol, Cyprus.Conference paper Ben Braiek, H., Tfaily, A., Khomh, F., Reid, T., & Guida, C. (2022, October). SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design [Paper]. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Rochester, MI, USA (13 pages).Conference paper Openja, M., Majidi, F., Khomh, F., Chembakottu, B., & Li, H. (2022, June). Studying the Practices of Deploying Machine Learning Projects on Docker [Paper]. 26th ACM International Conference on Evaluation and Assessment in Software Engineering (EASE 2022), Gothenburg, Sweden.Conference paper Roy, S., Laberge, G., Roy, B., Khomh, F., Nikanjam, A., & Mondal, S. (2022, October). Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus.
- 2021
Conference paper Moradi Dakhel, A., Desmarais, M. C., & Khomh, F. (2021, June). Assessing developer expertise from the statistical distribution of programming syntax patterns [Paper]. 25th Evaluation and Assessment in Software Engineering Conference (EASE 2021).Conference paper Humeniuk, D., Antoniol, G., & Khomh, F. (2021, May). Data Driven Testing of Cyber Physical Systems [Paper]. 14th IEEE/ACM International Workshop on Search-Based Software Testing (SBST 2021), Madrid, Spain.Conference paper Nikanjam, A., & Khomh, F. (2021, September). Design Smells in Deep Learning Programs: An Empirical Study [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg, Netherlands.Conference paper Soualhia, M., Khomh, F., & Tahar, S. (2021, September). Failure analysis of hadoop schedulers using an integration of model checking and simulation [Paper]. 9th International Symposium on Symbolic Computation in Software Science (SCSS 2021).Conference paper Kermansaravi, Z., Rahman, S., Khomh, F., Jaafar, F., & Guéhéneuc, Y.-G. (2021, May). Investigating design anti-pattern and design pattern mutation and their change- and fault-proneness [Paper]. 43rd IEEE/ACM International Conference on Software Engineering (41 pages).Conference paper Mindom, P. S. N., Nikanjam, A., Khomh, F., & Mullins, J. (2021, December). On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods [Paper]. 21st International Conference on Software Quality, Reliability and Security (QRS 2021), Hainan, China.Conference paper Aly, M., Khomh, F., & Yacout, S. (2021, December). On the performance implications of deploying IoT apps as faas [Paper]. 1st International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC 2021), Varanasi, India.Conference paper Vahedi, M., Rahman, M. M., Khomh, F., Uddin, G., & Antoniol, G. (2021, March). Summarizing Relevant Parts from Technical Videos [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA.Conference paper Humeniuk, D., Antoniol, G., & Khomh, F. (2021, May). SWAT tool at the SBST 2021 Tool Competition [Paper]. 14th IEEE/ACM International Workshop on Search-Based Software Testing (SBST 2021), Madrid, Spain.Conference paper Rivera-Landos, E., Khomh, F., & Nikanjam, A. (2021, December). The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs [Paper]. 21st International Conference on Software Quality, Reliability and Security (QRS 2021), Hainan, China.Conference paper Hamidi, A., Antoniol, G., Khomh, F., Penta, M. D., & Hamidi, M. (2021, September). Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow [Paper]. 21st IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2021), Luxembourg City, Luxembourg.Conference paper El aoun, M. R., Li, H., Khomh, F., & Openja, M. (2021, September). Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg, Netherlands.
- 2020
Conference paper Openja, M., Adams, B., & Khomh, F. (2020, September). Analysis of Modern Release Engineering Topics : – A Large-Scale Study using StackOverflow – [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020), Adelaide, Australia.Conference paper Tiwari, D., Washizaki, H., Fukazawa, Y., Fukuoka, T., Tamaki, J., Hosotani, N., Kohama, M., Guéhéneuc, Y.-G., & Khomh, F. (2020, May). Commit-defect and architectural metrics-based quality assessment of C language [Paper]. 15th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2020).Conference paper Pecorelli, F., Palomba, F., Khomh, F., & De Lucia, A. (2020, June). Developer-driven code smell prioritization [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea.Conference paper Zid, C., Humeniuk, D., Khomh, F., & Antoniol, G. (2020, June). Double cycle hybrid testing of hybrid distributed IoT system [Paper]. IEEE/ACM 42nd International Conference on Software Engineering Workshops (ICSEW 2020), Seoul, Republic of Korea.Conference paper Abidi, M., Openja, M., & Khomh, F. (2020, June). Multi-language design smells : a backstage perspective [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea.Conference paper Muse, B. A., Rahman, M. M., Nagy, C., Cleve, A., Khomh, F., & Antoniol, G. (2020, June). On the prevalence, impact and evolution of SQL Code smells in data-intensive systems [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea.Conference paper Firouzi, E., Sami, A., Khomh, F., & Uddin, G. (2020, October). On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow [Paper]. 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2020), Bari, Italy (6 pages).Conference paper Washizaki, H., Takeuchi, H., Khomh, F., Natori, N., Doi, T., & Okuda, S. (2020, September). Practitioners' insights on machine-learning software engineering design patterns: a preliminary study [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020).Conference paper Washizaki, H., Khomh, F., & Guéhéneuc, Y.-G. (2020, September). Software engineering patterns for machine learning applications (SEP4MLA) [Paper]. 9th Asian Conference on Pattern Languages of Program in 2020 (AsianPLoP 2020), Taipei, Taiwan (10 pages).Conference paper Washizaki, H., Khomh, F., Guéhéneuc, Y.-G., Takeuchi, H., Okuda, S., Natori, N., & Shioura, N. (2020, October). Software Engineering Patterns for Machine Learning Applications (SEP4MLA) - Part 2 [Paper]. 27th Conference on Pattern Languages of Programs in 2020 (PLoP' 2020) (10 pages).Conference paper Berhe, S., Maynard, M., & Khomh, F. (2020, April). Software Release Patterns When is it a good time to update a software component? [Paper]. 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020) and 3rd International Conference on Emerging Data and Industry 4.0 (EDI40 2020), Warsaw, Poland. Published in Procedia Computer Science, 170.Conference paper Jebnoun, H., Ben Braiek, H., Rahman, M. M., & Khomh, F. (2020, June). The scent of deep learning code : an empirical study [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea.Conference paper Abidi, M., & Khomh, F. (2020, July). Towards the definition of patterns and code smells for multi-language systems [Paper]. European Conference on Pattern Languages of Programs (EuroPLoP 2020), New York, NY, USA (13 pages).Conference paper Rahman, M. M., Khomh, F., & Castelluccio, M. (2020, September). Why are Some Bugs Non-Reproducible? : An Empirical Investigation using Data Fusion [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020).
- 2019
Conference paper Abidi, M., Khomh, F., & Guéhéneuc, Y.-G. (2019, July). Anti-patterns for multi-language systems [Paper]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (14 pages).Conference paper Abidi, M., Grichi, M., & Khomh, F. (2019, November). Behind the scenes: developers' perception of multi-language practices [Paper]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada.Conference paper Abidi, M., Grichi, M., Khomh, F., & Guéhéneuc, Y.-G. (2019, July). Code smells for multi-language systems [Paper]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (13 pages).Conference paper Ben Braiek, H., & Khomh, F. (2019, September). DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2019), Cleveland, OH, United states.Conference paper Barbez, A., Khomh, F., & Guéhéneuc, Y.-G. (2019, September). Deep Learning Anti-Patterns from Code Metrics History [Paper]. IEEE International Conference on Software Maintenance and Evolution, (ICSME 2019), Cleveland, OH, United states.Conference paper Soualhia, M., Fu, C., & Khomh, F. (2019, November). Infrastructure fault detection and prediction in edge cloud environments [Paper]. 4th ACM/IEEE Symposium on Edge Computing (SEC 2019), Arlington, Virginia.Conference paper Grichi, M., Abidi, M., Guéhéneuc, Y.-G., & Khomh, F. (2019, November). State of practices of Java native interface [Paper]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada.Conference paper Businge, J., Openja, M., Kavaler, D., Bainomugisha, E., Khomh, F., & Filkov, V. (2019, February). Studying Android App Popularity by Cross-Linking GitHub and Google Play Store [Paper]. 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), Hangzhou, China.Conference paper Washizaki, H., Uchida, H., Khomh, F., & Guéhéneuc, Y.-G. (2019, December). Studying Software Engineering Patterns for Designing Machine Learning Systems [Paper]. 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan.Conference paper Ben Braiek, H., & Khomh, F. (2019, July). TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs [Paper]. 19th IEEE International Conference on Software Quality, Reliability and Security (QRS 2019), Sofia, Bulgaria.Conference paper Uddin, G., Khomh, F., & Roy, C. K. (2019, May). Towards crowd-sourced API documentation [Paper]. 41st International Conference on Software Engineering - Software Engineering in Practice (ICSE-SEIP 2019), Montréal, Québec, Canada.
- 2018
Conference paper Khomh, F., & Guéhéneuc, Y.-G. (2018, March). Design patterns impact on software quality: Where are the theories? [Paper]. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy.Conference paper Yamashita, A., Petrillo, F., Khomh, F., & Guéhéneuc, Y.-G. (2018, May). Developer interaction traces backed by IDE screen recordings from think aloud sessions [Paper]. 15th ACM/IEEE International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden.Conference paper Morales, R., Saborido, R., Khomh, F., Chicano, F., & Antoniol, G. (2018, May). EARMO: An energy-aware refactoring approach for mobile apps [Abstract]. 40th IEEE/ACM International Conference on Software Engineering (ICSE 2018), Gothenburg, Sweden (1 page).Conference paper Barrak, A., Laverdière, M.-A., Khomh, F., An, L., & Merlo, E. (2018, October). Just-in-time Detection of Protection-Impacting Changes on WordPress and MediaWiki [Paper]. 28th Annual International Conference on Computer Science and Software Engineering (CASCON 2018), Toronto, Canada.Conference paper Fakhoury, S., Arnaoudova, V., Noiseux, C., Khomh, F., & Antoniol, G. (2018, March). Keep it simple: Is deep learning good for linguistic smell detection? [Paper]. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy.Conference paper Aly, M., Khomh, F., & Yacout, S. (2018, November). Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments [Paper]. 11th IEEE Conference on Service-Oriented Computing and Applications (SOCA 2018), Paris, France.Conference paper Ben Braiek, H., Khomh, F., & Adams, B. (2018, May). The open-closed principle of modern machine learning frameworks [Paper]. 15th International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden.Conference paper Ghrairi, N., Kpodjedo, S., Barrak, A., Petrillo, F., & Khomh, F. (2018, July). The state of practice on virtual reality (VR) applications: an exploratory study on github and stack overflow [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2018), Lisbon, Portugal.Conference paper Le, A., Khomh, F., McIntosh, S., & Castelluccio, M. (2018, December). Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox [Paper]. 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan (10 pages).
- 2017
Conference paper Saboury, A., Musavi, P., Khomh, F., & Antoniol, G. (2017, February). An empirical study of code smells in JavaScript projects [Paper]. 24th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2017), Klagenfurt, Austria.Conference paper Uddin, G., & Khomh, F. (2017, October). Automatic summarization of API reviews [Paper]. 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Urbana-Champaign, IL.Conference paper Armstrong, F., Khomh, F., & Adams, B. (2017, March). Broadcast vs. unicast review technology: Does it matter? [Paper]. 10th IEEE International Conference on Software Testing, Verification and Validation (ICST 2017), Tokyo, Japan.Conference paper Businge, J., Kawuma, S., Bainomugisha, E., Khomh, F., & Nabaasa, E. (2017, November). Code authorship and fault-proneness of open-source Android applications: An empirical study [Paper]. 13th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2017), Toronto, Canada.Conference paper Saborido, R., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2017, May). Comprehension of ads-supported and paid Android applications: Are they different? [Paper]. 25th International Conference on Program Comprehension (ICPC 2017), Buenos Aires, Argentina.Conference paper Petrillo, F., Mandian, H., Yamashita, A., Khomh, F., & Guéhéneuc, Y.-G. (2017, July). How do developers toggle breakpoints? Observational studies [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2017), Prague, Czech Republic.Conference paper Castelluccio, M., An, L., & Khomh, F. (2017, September). Is it safe to uplift this patch? : An empirical study on Mozilla Firefox [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), Shanghai, China.Conference paper Uddin, G., & Khomh, F. (2017, October). Opiner: An opinion search and summarization engine for APIs [Paper]. 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Urbana, IL, USA.Conference paper Zampetti, F., Noiseux, C., Antoniol, G., Khomh, F., & Di Penta, M. (2017, September). Recommending When Design Technical Debt Should Be Self-Admitted [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), Shanghai, China.Conference paper Yamashita, A., Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (2017, May). Software evolution and defects from controlled, multiple industrial case studies [Paper]. 14th International Conference on Mining Software Repositories (MSR 2017), Buenos Aires, Argentina (4 pages).Conference paper Yamashita, A., Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (2017, May). Software Evolution and Quality Data from Controlled, Multiple, Industrial Case Studies [Paper]. IEEE/ACM 14th International Conference on Mining Software Repositories (MSR 2017), Buenos Aires, Argentina.Conference paper An, L., Mlouki, O., Khomh, F., & Antoniol, G. (2017, February). Stack Overflow: A code laundering platform? [Paper]. 24th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2017), Klagenfurt, Austria.
- 2016
Conference paper Bani, B., Khomh, F., & Guéhéneuc, Y.-G. (2016, October). A Study of the Energy Consumption of Databases and Cloud Patterns [Paper]. 14th International Conference on Service-Oriented Computing (ICSOC 2016), Banff, Canada.Conference paper Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (2016, October). A Taxonomy for Program Metamodels in Program Reverse Engineering [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2016), Raleigh, NC.Conference paper Soh, Z., Yamashita, A., Khomh, F., & Guéhéneuc, Y.-G. (2016, March). Do code smells impact the effort of different maintenance programming activities? [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2106), Osaka, Japan.Conference paper Musavi, P., Adams, B., & Khomh, F. (2016, October). Experience Report: An Empirical Study of API Failures in OpenStack Cloud Environments [Paper]. 27th IEEE International Symposium on Software Reliability Engineering (ISSRE 2016), Ottawa, Ontario.Conference paper Morales, R., Sabané, A., Musavi, P., Khomh, F., Chicano, F., & Antoniol, G. (2016, March). Finding the best compromise between design quality and testing effort during refactoring [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan.Conference paper Mlouki, O., Khomh, F., & Antoniol, G. (2016, March). On the detection of licenses violations in android ecosystem [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan.Conference paper Infantes, R. S., Beltrame, G., Khomh, F., Alba, E., & Antoniol, G. (2016, March). Optimizing user experience in choosing Android applications [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan.Conference paper Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (2016, October). Patterns for program reverse engineering from the viewpoint of metamodel [Paper]. 23rd ACM Conference on Pattern Languages of Programs (PLoP 2016), Monticello, Illinois (9 pages).Conference paper Guerrouj, L., Baysal, O., Lo, D., & Khomh, F. (2016, May). Software analytics: challenges and opportunities [Paper]. 38th International Conference on Software Engineering Companion (ICSE 2016), Austin, TX.Conference paper Karasneh, B., Chaudron, M. R. V., Khomh, F., & Guéhéneuc, Y.-G. (2016, March). Studying the relation between anti-patterns in design models and in source code [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Suita, Japan.Conference paper Petrillo, F., Soh, Z., Khomh, F., Pimenta, M., Freitas, C., & Guéhéneuc, Y.-G. (2016, August). Towards Understanding Interactive Debugging [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2016), Vienna, Austria.Conference paper Petrillo, F., Soh, Z., Khomh, F., Pimenta, M., Freitas, C., & Guéhéneuc, Y.-G. (2016, May). Understanding interactive debugging with swarm debug infrastructure [Paper]. 24th IEEE International Conference on Program Comprehension (ICPC 2016), Austin, TX (4 pages).
- 2015
Conference paper An, L., & Khomh, F. (2015, October). An empirical study of crash-inducing commits in Mozilla Firefox [Paper]. 11th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2015), Beijing, China.Conference paper An, L., & Khomh, F. (2015, August). An Empirical Study of Highly Impactful Bugs in Mozilla Projects [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2015), Vancouver, BC, Canada.Conference paper Soualhia, M., Khomh, F., & Tahar, S. (2015, December). ATLAS: an adaptive failure-aware scheduler for Hadoop [Paper]. 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China (8 pages).Conference paper Le, A., & Khomh, F. (2015, March). Challenges and Issues of Mining Crash Reports [Paper]. IEEE 1st International Workshop on Software Analytics (SWAN 2015), Montréal, Québec.Conference paper Morales, R., McIntosh, S., & Khomh, F. (2015, March). Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects [Paper]. 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015), Montréal, Québec.Conference paper Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (2015, December). How green are cloud patterns? [Paper]. 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China (8 pages).Conference paper Soh, Z., Drioul, T., Rappe, P. A., Khomh, F., Guéhéneuc, Y.-G., & Habra, N. (2015, October). Noises in interaction traces data and their impact on previous research studies [Paper]. ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2015), Beijing, China (10 pages).Conference paper Soualhia, M., Khomh, F., & Tahar, S. (2015, August). Predicting scheduling failures in the cloud: A case study with google clusters and hadoop on Amazon EMR [Paper]. 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems (HPCC-ICESS-CSS 2015), New York, NY, United states.Conference paper Adams, B., Bellomo, S., Bird, C., Khomh, F., & Moir, K. (2015, May). 3rd International Workshop on Release Engineering (RELENG 2015) [Paper]. IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE 2015), Florence, Italy.
- 2014
Conference paper Hecht, G., Jose-Scheidt, B., De Figueiredo, C., Moha, N., & Khomh, F. (2014, December). An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS) [Paper]. 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014), Singapore.Conference paper Xie, S., Khomh, F., Zou, Y., & Keivanloo, I. (2014, February). An empirical study on the fault-proneness of clone migration in clone genealogies [Paper]. IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE 2014), Antwerp, Belgium.Conference paper Jaafar, F., Khomh, F., Guéhéneuc, Y.-G., & Zulkernine, M. (2014, October). Anti-pattern Mutations and Fault-proneness [Paper]. 14th International Conference on Quality Software (QSIC 2014), Dallas, Texas.Conference paper Shridhar, M., Adams, B., & Khomh, F. (2014, September). A qualitative analysis of software build system changes and build ownership styles [Paper]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (10 pages).Conference paper Kerzazi, N., & Khomh, F. (2014, September). Factors impacting rapid releases: An industrial case study [Paper]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (8 pages).Conference paper Kerzazi, N., & Khomh, F. (2014, April). Factors impacting software release engineering: a longitudinal study [Paper]. 2nd International Workshop on Release Engineering (RELENG 2014), Mountain View, CA (5 pages).Conference paper Palma, F., An, L., Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (2014, November). Investigating the change-proneness of service patterns and antipatterns [Paper]. 7th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2014), Matsue, Japan (8 pages).Conference paper Khomh, F. (2014, April). On improving the dependability of cloud applications with fault-tolerance [Paper]. IEEE/IFIP Conference on Software Architecture (WICSA 2014), Sydney, NSW, Australia (3 pages).Conference paper An, L., Khomh, F., & Adams, B. (2014, September). Supplementary Bug Fixes vs. Re-opened Bugs [Paper]. 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2014), Victoria, BC.Conference paper Jiang, Y., Adams, B., Khomh, F., & German, D. M. (2014, September). Tracing back the history of commits in low-tech reviewing environments: a case study of the Linux kernel [Paper]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (10 pages).Conference paper Kerzazi, N., Khomh, F., & Adams, B. (2014, September). Why Do Automated Builds Break? An Empirical Study [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2014), Victoria, BC, Canada.
- 2013
Conference paper Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., & Khomh, F. (2013, March). Analysing Anti-patterns Static Relationships with Design Patterns [Paper]. First Workshop on Patterns Promotion and Anti-patterns Prevention (PPAP 2013), Genova, Italy (26 pages). Published in Electronic Communications of the EASST, 59.Conference paper Xie, S., Khomh, F., & Zou, Y. (2013, May). An empirical study of the fault-proneness of clone mutation and clone migration [Paper]. 10th Working Conference on Mining Software Repositories (MSR 2013), San Francisco, CA, USA.Conference paper Zhang, F., Mockus, A., Zou, Y., Khomh, F., & Hassan, A. E. (2013, September). How does context affect the distribution of software maintainability metrics? [Paper]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands.Conference paper Wang, S., Khomh, F., & Zou, Y. (2013, May). Improving bug localization using correlations in crash reports [Paper]. 10th Working Conference on Mining Software Repositories (MSR 2013), San Francisco, CA, USA.Conference paper Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., & Khomh, F. (2013, October). Mining the relationship between anti-patterns dependencies and fault-proneness [Paper]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany.Conference paper Mantyla, M. V., Khomh, F., Adams, B., Engstrom, E., & Petersen, K. (2013, September). On rapid releases and software testing [Paper]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands.Conference paper Soh, Z., Khomh, F., Guéhéneuc, Y.-G., Antoniol, G., & Adams, B. (2013, October). On the effect of program exploration on maintenance tasks [Paper]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany.Conference paper Taba, S. E. S., Khomh, F., Zou, Y., Hassan, A. E., & Nagappan, M. (2013, September). Predicting bugs using antipatterns [Paper]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands.Conference paper Adams, B., Bird, C., Khomh, F., & Moir, K. (2013, May). 1st International Workshop on Release Engineering (RELENG 2013) [Paper]. 35th International Conference on Software Engineering (ICSE 2013), San Francisco, CA, USA.Conference paper Soh, Z., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2013, October). Towards understanding how developers spend their effort during maintenance activities [Paper]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany.
- 2012
Conference paper Upadhyaya, B., Khomh, F., Zou, Y., Lau, A., & Ng, J. (2012, December). A concept analysis approach for guiding users in service discovery [Paper]. 5th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2012), Taipei, Taiwan (8 pages).Conference paper Khomh, F., Yuan, H., & Zou, Y. (2012, September). Adapting Linux for mobile platforms : an empirical study of Android [Paper]. 28th IEEE International Conference on Software Maintenance (ICSM 2012), Trento, Italy.Conference paper Romano, D., Raila, P., Pinzger, M., & Khomh, F. (2012, October). Analyzing the impact of antipatterns on change-proneness using fine-grainde source code changes [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada.Conference paper Zhang, F., Khomh, F., Zou, Y., & Hassan, A. E. (2012, October). An empirical study of the effect of file editing patterns on software quality [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada.Conference paper Zhang, F., Khomh, F., Zou, Y., & Hannan, A. E. (2012, October). An empirical study on factors impacting bug fixing time [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada.Conference paper Khomh, F., Dhaliwal, T., Zou, Y., & Adams, B. (2012, June). Do Faster Releases Improve Software Quality? An Empirical Case Study of Mozilla Firefox [Paper]. 9th IEEE Working Conference on Mining Software Repositories (MSR 2012), Zurich, Switzerland.Conference paper Upadhyaya, B., Khomh, F., & Zou, Y. (2012, December). Extracting RESTful services from Web applications [Paper]. 5th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2012), Taipei, Taiwan (4 pages).Conference paper Lavoie, T., Khomh, F., Merlo, E., & Zou, Y. (2012, October). Inferring repository file structure modifications using nearest-neighbor clone detection [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada.Conference paper Dhaliwal, T., Khomh, F., Zou, Y., & Hassan, A. E. (2012, September). Recovering commit dependencies for selective code integration in software product lines [Paper]. 28th IEEE International Conference on Software Maintenance (ICSM 2012), Trento, Italy.
- 2011
Conference paper Xiao, H., Upadhyaya, B., Khomh, F., Zou, Y., Ng, J., & Lau, A. (2011, July). An Automatic Approach for Extracting Process Knowledge from the Web [Paper]. IEEE International Conference on Web Services (ICWS 2011), Washington DC, USA.Conference paper Abbes, M., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2011, March). An empirical study of the impact of two antipatterns, Blob and Spaghetti Code, on program comprehension [Paper]. 15th European Conference on Software Maintenance and Reengineering (CSMR 2011), Oldenburg, Germany.Conference paper Khomh, F., Chan, B., Zou, Y., & Hassan, A. E. (2011, October). An Entropy Evaluation Approach for Triaging Field Crashes: A Case Study of Mozilla Firefox [Paper]. Working Conference on Reverse Engineering (WCRE 2011), Limerick, Ireland.Conference paper Dhaliwal, T., Khomh, F., & Zou, Y. (2011, September). Classifying field crash reports for fixing bugs: A case study of Mozilla Firefox [Paper]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA.Conference paper Zhao, X., Khomh, F., & Zou, Y. (2011, July). Improving the Modifiability of the Architecture of Business Applications [Paper]. International Conference on Quality Software (QSIC 2011), Madrid, Spain.Conference paper Barbour, L., Khomh, F., & Zou, Y. (2011, September). Late propagation in software clones [Paper]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA.Conference paper Khomh, F., Chan, B., Zou, Y., Sinha, A., & Dietz, D. (2011, September). Predicting post-release defects using pre-release field testing results [Paper]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA.
- 2010
Conference paper Hassaine, S., Khomh, F., Guéhéneuc, Y.-G., & Hamel, S. (2010, September). IDS: An Immune-inspired Approach for the Detection of Software Design Smells [Paper]. 7th International Conference on the Quality of Information and Communications Technology (QUATIC 2010), Porto.Conference paper Oliveto, R., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2010, March). Numerical signatures of antipatterns : an approach based on B-splines [Paper]. 14th European Conference on Software Maintenance and Reengineering (CSMR 2010), Madrid, Spain.Conference paper Haderer, N., Khomh, F., & Antoniol, G. (2010, September). SQUANER: A framework for monitoring the quality of software systems [Paper]. 26th IEEE International Conference on Software Maintenance (ICSM 2010), Timisoara, Romania (4 pages).
- 2009
Conference paper Khomh, F., Vaucher, S., Guéhéneuc, Y.-G., & Sahraoui, H. (2009, August). A Bayesian approach for the detection of code and design smells [Paper]. 9th International Conference on Quality Software (QSIC 2009), Jeju, South Korea.Conference paper Khomh, F., Di Penta, M., & Guéhéneuc, Y.-G. (2009, October). An exploratory study of the impact of code smells on software change-proneness [Paper]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France.Conference paper Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2009, September). Playing roles in design patterns: an empirical descriptive and analytic study [Paper]. IEEE International Conference on Software Maintenance (ICSM 2009), Edmonton, Alberta, Canada.Conference paper Khomh, F. (2009, October). SQUAD: Software Quality Understanding through the Analysis of Design [Paper]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France.Conference paper Vaucher, S., Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (2009, October). Tracking design smells: Lessons from a study of God classes [Paper]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France.
- 2008
Conference paper Khomh, F., & Guéhéneuc, Y.-G. (2008, October). DEQUALITE: building design-based software quality models [Paper]. 15th Conference on Pattern Languages of Programs (PLoP 2008), Nashville, TN (7 pages).Conference paper Khomh, F., & Guéhéneuc, Y.-G. (2008, April). Do design patterns impact software quality positively? [Paper]. 12th European Conference on Software Maintenance and Reengineering (CSMR 2008), Athens, Greece.Conference paper Moha, N., Khomh, F., & Guéhéneuc, Y.-G. (2008, March). Génération automatique d'algorithmes de détection des défauts de conception [Paper]. 14e Colloque Langages et modèles à objets (LMO 2008) (13 pages).Conference paper Antoniol, G., Ayari, K., Penta, M. D., Khomh, F., & Guéhéneuc, Y.-G. (2008, October). Is it a bug or an enhancement?: a text-based approach to classify change requests [Paper]. 18th Annual International Conference of th Center for Advanced Studies on Collaborative Research (CASCON 2008), Richmond Hill, Ontario.
- 2007
Conference paper Khomh, F., & Guéhéneuc, Y.-G. (2007, July). Perception and reality: what are design patterns good for? [Paper]. 11th ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE 2007), Berlin, Germany (7 pages).
- 2024
- Books (2)
- 2024
Book Nguyen-Duc, A., Abrahamsson, P., & Khomh, F. (2024). Generative AI for effictive software development.Book Khomh, F., & Jahangirova, G. (2024). Search-based Software Engineering.
- 2024
- Book chapters (8)
- 2024
Book chapter Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). An Overview on Large Language Models. In Generative AI for Effective Software Development (pp. 3-21).Book chapter Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). Generative AI for Software Development: A Family of Studies on Code Generation. In Generative AI for Effective Software Development (pp. 151-172).
- 2023
Book chapter Jamshidi, S., Nikanjam, A., Hamdaqa, M. A., & Khomh, F. (2023). Attack Detection by Using Deep Learning for Cyber-Physical System. In Artificial Intelligence for Cyber-Physical Systems Hardening (Vol. 2, pp. 155-179).Book chapter Khomh, F., Rahman, M. M., & Barbez, A. (2023). Intelligent Software Maintenance. In Romero, J. R., Medina-Bulo, I., & Chicano, F. (eds.), Optimising the Software Development Process with Artificial Intelligence (pp. 241-275).Book chapter Gorton, I., Khomh, F., Lenarduzzi, V., Menghi, C., & Roman, D. (2023). Software Architectures for AI Systems: State of Practice and Challenges. In Pelliccione, P., Kazman, R., Weber, I., & Liu, A. (eds.), Software Architecture (pp. 25-39).
- 2021
Book chapter Ehsan, O., Barbour, L., Khomh, F., & Zou, Y. (2021). Is Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study. In Inoue, K., & Roy, C. K. (eds.), Code Clone Analysis : Research, Tools, and Practice .
- 2019
Book chapter Guéhéneuc, Y.-G., & Khomh, F. (2019). Empirical Software Engineering. In Cha, S., Taylor, R. N., & Kang, K. C. (eds.), Handbook of Software Engineering (pp. 285-320).
- 2014
Book chapter Khomh, F., Guéhéneuc, Y.-G., Antoniol, G., & Di Penta, M. (2014). Modèles de qualité et conception des programmes. In Évolution et maintenance des systèmes logiciels .
- 2024
- Reports (11)
- 2017
Report Uddin, G., & Khomh, F. (2017). Mining API aspects in API Reviews. (Technical Report).
- 2016
Report Saborido, R., Beltrame, G., Khomh, F., Alba, E., & Antoniol, G. (2016). Optimizing user experience in choosing android applications. (Technical Report n° EPM-RT-2016-03).
- 2015
Report Soualhia, M., Khomh, F., & Tahar, S. (2015). ATLAS: a failure-aware scheduler for Hadoop. (Technical Report).Report Soualhia, M., Khomh, F., & Tahar, S. (2015). Predicting Scheduling Failures in the Cloud. (Technical Report).
- 2009
Report Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2009). An empirical descriptive and analytic study of playing roles in design patterns. (Technical Report n° EPM-RT-2009-03).Report Khomh, F., Di Penta, M., & Guéhéneuc, Y.-G. (2009). An exploratory study of the impact of code smells on software change-proneness. (Technical Report).Report Khomh, F., Di Penta, M., Guéhéneuc, Y.-G., & Antoniol, G. (2009). An exploratory study of the impact of software changeability. (Technical Report n° EPM-RT-2009-02).Report Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (2009). DEQUALITE : méthode de construction de modèles de qualité prenant en compte la conception des systèmes. (Technical Report n° EPM-RT-2009-04).Report Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2009). Playing roles in design patterns: an empirical descriptive and analytic study. (Technical Report n° EPM-RT-2009-03).
- 2008
Report Khomh, F., & Guéhéneuc, Y.-G. (2008). An empirical study of design patterns and software quality. (Technical Report n° 1315).Report Denier, S., Khomh, F., & Guéhéneuc, Y.-G. (2008). Reverse-engineering the literature on design patterns and reverse-engineering. (Technical Report n° EPM-RT-2008-09).
- 2017
- Datasets (12)
- 2023
Dataset Morovati, M. M., Nikanjam, A., Khomh, F., & Jiang, Z. M. (2023). Bugs in machine learning-based systems: a faultload benchmark [Dataset].Dataset Hooshyar, H., Guerra, E., Melegati, J., Khanna, D., Aldaeej, A., Matturro, G., Zaina, L., Greer, D., Chanin, R., Wang, X., Garbajosa, J., Abrahamsson, P., Khomh, F., & Nguyen-Duc, A. (2023). Supplemental package of a study on the impacts of Covid-19 on software startups and established companies [Dataset].Dataset Wu, X., Li, H., & Khomh, F. (2023). Supplimental Materials - Truncated Spirit and Thunderbird datasets [Dataset].
- 2022
Dataset Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 1 [Dataset].Dataset Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 2 [Dataset].Dataset Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 3 [Dataset].Dataset Badran, K., Côté, P.-O., Kolopanis, A., Bouchoucha, R., Collante, A., Costa, D. E., Shihab, E., & Khomh, F. (2022). Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? [Dataset].Dataset Dakhel, A. M., Desmarais, M. C., & Khomh, F. (2022). Dev2vec: Representing Domain Expertise of Developers in an Embedding Space [Dataset].
- 2021
Dataset Silva, R. F., Rahman, M. M., Dantas, C. E., Roy, C. K., Khomh, F., & Maia, M. A. (2021). "A Replication Package For The Paper ""Improved Retrieval of Programming Solutions with Code Examples Using a Multi-featured Score""" [Dataset].
- 2020
Dataset Politowski, C., Khomh, F., Romano, S., Scanniello, G., Petrillo, F., Guéhéneuc, Y.-G., & Maiga, A. (2020). A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension [Dataset].
- 2017
Dataset Yamashita, A., Petrillo, F., Khomh, F., & Guéhéneuc, Y.-G. (2017). Empirical Data From A Longitudinal Software Maintenance Experiment [Dataset].Dataset Yamashita, A., Guéhéneuc, Y.-G., Khomh, F., & Abtahizadeh, A. (2017). Software Evolution And Quality Data From Controlled, Multiple, Industrial Case Studies [Dataset].
- 2023