Antoniol, Giuliano

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Giuliano Antoniol

Ph. D.

Publications

Adjunct Professor
Department of Computer Engineering and Software Engineering

Fax: (514) 340-5139

giuliano.antoniol@polymtl.ca

Areas of expertise
Software and development Software engineering Computer systems software

Research interests and affiliations

Research interests

Search base software engineering
Software evolution and maintenance
Reverse engineering and static code analysis
Empirical software studies
Software quality assurance

Affiliation(s)

Institute for Data Valorization (IVADO), Member

Expertise type(s) (NSERC subjects)

2705 Software and development
2706 Software engineering
2720 Computer systems software

Publications

Recent publications

Humeniuk, D., Khomh, F., & Antoniol, G. (2023). AmbieGen: A search-based framework for autonomous systems testing. Science of Computer Programming, 230, 102990 (10 pages).

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).

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.

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.

See all publications (306)

Supervision at Polytechnique

COMPLETED

Ph.D. Thesis (12)
- Muse, B. A. (2022). Data-Access Technical Debt: Specification, Refactoring, and Impact Analysis [Ph.D. thesis, Polytechnique Montréal].
- Morales Alvarado, R. (2017). Automated Improvement of Software Design by Search-Based Refactoring [Ph.D. thesis, École Polytechnique de Montréal].
- Mousavi Eshkevari, L. (2015). Automatic Detection and Classification of Identifier Renamings [Ph.D. thesis, École Polytechnique de Montréal].
- Sabane, A. (2015). Reducing Object-Oriented Testing Cost Through the Analysis of Antipatterns [Ph.D. thesis, École Polytechnique de Montréal].
- Sharafi Tafreshi Moghaddam, Z. (2015). On the Influence of Representation Type and Gender on Recognition Tasks of Program Comprehension [Ph.D. thesis, École Polytechnique de Montréal].
- Soh, Z. (2015). Improving Program Comprehension and Recommendation Systems Using Developers' Context [Ph.D. thesis, École Polytechnique de Montréal].
- Arnaoudova, V. (2014). Towards Improving the Code Lexicon and its Consistency [Ph.D. thesis, École Polytechnique de Montréal].
- Medini, S. (2014). Concepts Extraction from Execution Traces [Ph.D. thesis, École Polytechnique de Montréal].
- Wu, W. (2014). Understanding and Tooling Framework API Evolution [Ph.D. thesis, École Polytechnique de Montréal].
- Guerrouj, L. (2013). Context-Aware Source Code Identifier Splitting and Expansion for Software Maintenance [Ph.D. thesis, École Polytechnique de Montréal].
- Ali, N. (2012). Analysing Source Code Structure and Mining Software Repositories to Create Requirements Traceability Links [Ph.D. thesis, École Polytechnique de Montréal].
- Kpodjedo, H. (2011). Approximate Graph Matching for Software Engineering [Ph.D. thesis, École Polytechnique de Montréal].
Master's Thesis (18)
- Ossim Belias, F. P. (2022). Python Functional Programming: Study of List Comprehensions and Lambda Functions Performance and Change-Proneness Risk [Master's thesis, Polytechnique Montréal].
- Arseneault, S. (2021). Risk Awareness in Swarm Robotics [Master's thesis, Polytechnique Montréal].
- Hamidi, A. (2021). Machine Learning Engineering: An Exploratory Study of Challenges and Practices [Master's thesis, Polytechnique Montréal].
- Humeniuk, D. (2021). A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems [Master's thesis, Polytechnique Montréal].
- Vahedi, M. (2021). TechTube: Summarizing Relevant Parts from Technical Videos [Master's thesis, Polytechnique Montréal].
- Rivera-Landos, E. (2020). On the Challenges of Implementing Machine Learning Systems in Industry [Master's thesis, Polytechnique Montréal].
- Zid, C. (2020). Analyse et détection des anomalies dans un système IOT distribué hybride [Master's thesis, Polytechnique Montréal].
- Barrak, M. A. (2018). Just-in-Time Detection of Protection-Impacting Changes on Wordpress and Mediawiki [Master's thesis, École Polytechnique de Montréal].
- Noiseux, C. (2017). Recommending When Design Technical Debt Should Be Self-Admitted [Master's thesis, École Polytechnique de Montréal].
- Mlouki, O. (2016). On the Detection of Licenses Violations in the Android Ecosystem [Master's thesis, École Polytechnique de Montréal].
- Saboury, A. (2016). On the Fault-Proneness of Javascript Code Smells [Master's thesis, École Polytechnique de Montréal].
- Bhattacharya, N. (2012). Test Data Generation for Exposing Interference Bugs in Multi-Threaded Systems [Master's thesis, École Polytechnique de Montréal].
- Boughanmi, F. (2012). Source Code and License Statement Co-Evolution [Master's thesis, École Polytechnique de Montréal].
- Belderrar, A. (2011). Extraction des sous-graphes : identification des microarchitectures dans les logiciels évolutifs orientés objets [Master's thesis, École Polytechnique de Montréal].
- Asadi, F. (2010). A Heuristic-Based Approach to Locate Concepts in Execution Traces [Master's thesis, École Polytechnique de Montréal].
- Madani, N. (2010). Heuristic Splitting of Source Code Identifiers [Master's thesis, École Polytechnique de Montréal].
- Awedikian, Z. (2009). Automatic Data Generation for MC/DC Test Criterion Using Metaheuristic Algorithms [Master's thesis, École Polytechnique de Montréal].
- Ayari, K. (2007). Approche basée sur l'intelligence collective pour la génération de données de test par mutation [Master's thesis, École Polytechnique de Montréal].

News about Giuliano Antoniol

NEWS | August 17, 2021

Two Polytechnique professors ranked among the world’s most productive software engineering researchers | Read

NEWS | February 24, 2021

50 Polytechnique Montréal researchers among the top 2% most cited in their respective fields | Read

NEWS | February 18, 2021

Software Engineering: Professors Antoniol and Khomh Receive Award for Most Influential Article of the Decade | Read

Press review about Giuliano Antoniol

October 30, 2020, Québec Science, À quand un univers numérique plus vert? Programmer avec une conscience environnementale est loin d’être la seule voie pour diminuer significativement les émissions de gaz à effet de serre. Giuliano Antoniol, professeur titulaire au Département de génie informatique et génie logiciel de Polytechnique Montréal, s’attend à voir émerger un amalgame de solutions, comme des langages de programmation plus performants et des dispositifs intelligents.

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