Publications

For full list of publications check Google Scholar and DBLP.

Selected Conference Papers

• “On the Coupling between Vulnerabilities and LLM-generated Mutants: A Study on Vul4J dataset.” Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024 link preprint Github

• “Enabling Efficient Assertion Inference.” Aayush Garg, Renzo Degiovanni, Facundo Molina, Mike Papadakis, Nazareno Aguirre, Maxime Cordy, and Yves Le Traon. IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023 link PDF Github

• “On Comparing Mutation Testing Tools through Learning-based Mutant Selection.” Milos Ojdanic, Ahmed Khanfir, Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. ACM/IEEE International Conference on Automation of Software Test (AST), 2023 link PDF Github

Selected Journal Papers

• “Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies.” Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon. IEEE Transactions on Software Engineering Journal (TSE), 2023 link Github

• “Learning from What We Know: How to Perform Vulnerability Prediction using Noisy Historical Data.” Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, and Yves Le Traon. Empirical Software Engineering (EMSE), 2022 link Github

• “Cerebro: Static subsuming mutant selection.” Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis and Yves Le Traon. IEEE Transactions on Software Engineering (TSE), 2021 link Github

Papers Under Review

• “Learning to predict vulnerabilities from vulnerability-fixes: A machine translation approach.” Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, and Yves Le Traon. (Under Review) preprint

• “Vulnerability Mimicking Mutants.” Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. (Under Review) preprint GitHub

Thesis

• “Guiding Quality Assurance Through Context Aware Learning.” Aayush Garg. PhD Dissertation (2023), University of Luxembourg. link