Testing

Papers

• Mimicking Production Behavior with Generated Mocks (Deepika Tiwari, Martin Monperrus and Benoit Baudry), In IEEE Transactions on Software Engineering, 2024. [github]
• PROZE: Generating Parameterized Unit Tests Informed by Runtime Data (Deepika Tiwari, Yogya Gamage, Martin Monperrus and Benoit Baudry), In Proceedings of IEEE Conference on Source Code Analysis and Manipulation, 2024. [github]
• Serializing Java Objects in Plain Code (Julian Wachter, Deepika Tiwari, Martin Monperrus and Benoit Baudry), Technical report 2405.11294, arXiv, 2024.

• RICK: Generating Mocks from Production Data (Deepika Tiwari, Martin Monperrus and Benoit Baudry), In Proceedings of ICST, 2023. [github]

• Harvesting Production GraphQL Queries to Detect Schema Faults (Louise Zetterlund, Deepika Tiwari, Martin Monperrus and Benoit Baudry), In Proceedings of the International Conference on Software Testing, Verification and Validation (ICST), 2022. [github]

• Production Monitoring to Improve Test Suites (Deepika Tiwari, Long Zhang, Martin Monperrus and Benoit Baudry), In IEEE Transactions on Reliability, 2021. [github]

• A Snowballing Literature Study on Test Amplification (Benjamin Danglot, Oscar Luis Vera-Pérez, Zhongxing Yu, Andy Zaidman, Martin Monperrus and Benoit Baudry), In Journal of Systems and Software, Elsevier, 2019. [github]
• An Approach and Benchmark to Detect Behavioral Changes of Commits in Continuous Integration (Benjamin Danglot, Martin Monperrus, Walter Rudametkin and Benoit Baudry), In Empirical Software Engineering, 2019. [github]
• Automatic Test Improvement with DSpot: a Study with Ten Mature Open-Source Projects (Benjamin Danglot, Oscar Luis Vera-Pérez, Benoit Baudry and Martin Monperrus), In Empirical Software Engineering, 2019. [github]
• Suggestions on Test Suite Improvements with Automatic Infection and Propagation Analysis (Oscar Luis Vera-Pérez, Benjamin Danglot, Martin Monperrus and Benoit Baudry), Technical report 1909.04770, arXiv, 2019. [github]

• A Comprehensive Study of Pseudo-tested Methods (Oscar Luis Vera-Pérez, Benjamin Danglot, Martin Monperrus and Benoit Baudry), In Empirical Software Engineering, 2018. [github]
• Descartes: A PITest Engine to Detect Pseudo-Tested Methods - Tool Demonstration (Oscar Luis Vera-Pérez, Martin Monperrus and Benoit Baudry), In ACM/IEEE International Conference on Automated Software Engineering, Tool demonstration track, 2018. [github]

• Test Case Generation for Program Repair: A Study of Feasibility and Effectiveness (Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux and Martin Monperrus), Technical report 1703.00198, arXiv, 2017.

• B-Refactoring: Automatic Test Code Refactoring to Improve Dynamic Analysis (Jifeng Xuan, Benoit Cornu, Matias Martinez, Benoit Baudry, Lionel Seinturier and Martin Monperrus), In Information and Software Technology, Elsevier, volume 76, 2016. [github]

• DSpot: Test Amplification for Automatic Assessment of Computational Diversity (Benoit Baudry, Simon Allier, Marcelino Rodriguez-Cancio and Martin Monperrus), Technical report 1503.05807, arXiv, 2015.
• Dynamic Analysis can be Improved with Automatic Test Suite Refactoring (Jifeng Xuan, Benoit Cornu, Matias Martinez, Benoit Baudry, Lionel Seinturier and Martin Monperrus), Technical report 1506.01883, arXiv, 2015.

• Empirical Investigation of the Web Browser Attack Surface under Cross-Site Scripting: an Urgent Need for Systematic Security Regression Testing (Erwan Abgrall, Sylvain Gombault, Yves Le Traon and Martin Monperrus), In International Conference on Software Testing, Verification and Validation Workshops, 2014.
• Test Case Purification for Improving Fault Localization (Jifeng Xuan and Martin Monperrus), In FSE - 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering, 2014.