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  Publications
Giuliano Antoniol
Ph. D.
  Publications
Full Professor
Department of Computer Engineering and Software Engineering
Phone: (514) 340-4711 Ext. 2027 Fax: (514) 340-5139 Room: M-4021
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)
Expertise type(s) (NSERC subjects)
  • 2705 Software and development
  • 2706 Software engineering
  • 2720 Computer systems software

Publications

Recent publications
Journal article
Zampetti, F., Mudbhari, S., Arnaoudova, V., Di Penta, M., Panichella, S. & Antoniol, G. (2022). Using code reviews to automatically configure static analysis tools. Empirical Software Engineering, 27(1), 30 pages. Retrieved from https://doi.org/10.1007/s10664-021-10076-4
Conference paper
Humeniuk, D., Antoniol, G. & Khomh, F. (2021). Data Driven Testing of Cyber Physical Systems. Paper presented at the 14th IEEE/ACM International Workshop on Search-Based Software Testing (SBST 2021), Madrid, Spain (pp. 16-19). Retrieved from https://doi.org/10.1109/SBST52555.2021.00010
Conference paper
Coviello, C., Romano, S., Scanniello, G. & Antoniol, G. (2021). Gasser. Paper presented at the 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA (pp. 556-560). Retrieved from https://doi.org/10.1109/SANER50967.2021.00065
Conference paper
Vahedi, M., Rahman, M.M., Khomh, F., Uddin, G. & Antoniol, G. (2021). Summarizing Relevant Parts from Technical Videos. Paper presented at the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA (pp. 434-445). Retrieved from https://doi.org/10.1109/SANER50967.2021.00047
See all publications (287)

Supervision at Polytechnique

COMPLETED

  • Ph.D. Thesis (11)

    • Morales Alvarado, R. (2017). Automated improvement of software design by search-based refactoring (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2878/
    • Mousavi Eshkevari, L. (2015). Automatic Detection and Classification of Identifier Renamings (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1994/
    • Sabané, A. (2015). Reducing Object-Oriented Testing Cost Through the Analysis of Antipatterns (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1985/
    • 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). Retrieved from https://publications.polymtl.ca/1755/
    • Soh, Z. (2015). Improving Program Comprehension and Recommendation Systems Using Developers' Context (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2034/
    • Arnaoudova, V. (2014). Towards Improving the Code Lexicon and its Consistency (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1517
    • Medini, S. (2014). Concepts Extraction from Execution Traces (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1607
    • Wu, W. (2014). Understanding and Tooling Framework API Evolution (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1642
    • Guerrouj, L. (2013). Context-Aware Source Code Identifier Splitting and Expansion for Software Maintenance (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1203
    • Ali, N. (2012). Analysing Source Code Structure and Mining Software Repositories to Create Requirements Traceability Links (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1002
    • Kpodjedo, H. (2011). Approximate Graph Matching for Software Engineering (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/670

  • Master's Thesis (16)

    • Hamidi, A. (2021). Machine Learning Engineering: An Exploratory Study of Challenges and Practices (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/6569/
    • Humeniuk, D. (2021). A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/9144/
    • Vahedi, M. (2021). TechTube: Summarizing Relevant Parts from Technical Videos (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/6290/
    • Rivera-Landos, E. (2020). On the Challenges of Implementing Machine Learning Systems in Industry (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/5538/
    • Zid, C. (2020). Analyse et détection des anomalies dans un système IOT distribué hybride (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/5403/
    • Barrak, M.A. (2018). Just-in-Time Detection of Protection-Impacting Changes on Wordpress and Mediawiki (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3684/
    • Noiseux, C. (2017). Recommending when design technical debt should be self-admitted (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2826/
    • Mlouki, O. (2016). On the Detection of Licenses Violations in the Android Ecosystem (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2124/
    • Saboury, A. (2016). On the fault-proneness of Javascript code smells (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2445/
    • Bhattacharya, N. (2012). Test Data Generation for Exposing Interference Bugs in Multi-Threaded Systems (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/985
    • Boughanmi, F. (2012). Source Code and License Statement Co-Evolution (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1034
    • Belderrar, A. (2011). Extraction des sous-graphes : identification des microarchitectures dans les logiciels évolutifs orientés objets (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/658
    • Asadi, F. (2010). A Heuristic-Based Approach to Locate Concepts in Execution Traces (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/337
    • Madani, N. (2010). Heuristic Splitting of Source Code Identifiers (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/294
    • Awedikian, Z. (2009). Automatic data generation for MC/DC test criterion using metaheuristic algorithms (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/127
    • 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.