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Aayush Garg, PhD
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Cerebro: Static subsuming mutant selection
A Garg, M Ojdanic, R Degiovanni, TT Chekam, M Papadakis, Y Le Traon
IEEE Transactions on Software Engineering 49 (1), 24-43, 2022
222022
Learning from what we know: How to perform vulnerability prediction using noisy historical data
A Garg, R Degiovanni, M Jimenez, M Cordy, M Papadakis, Y Le Traon
Empirical Software Engineering 27 (7), 169, 2022
202022
Syntactic vs. semantic similarity of artificial and real faults in mutation testing studies
M Ojdanic, A Garg, A Khanfir, R Degiovanni, M Papadakis, Y Le Traon
IEEE Transactions on Software Engineering, 2023
132023
Learning to predict vulnerabilities from vulnerability-fixes: A machine translation approach
A Garg, R Degiovanni, M Jimenez, M Cordy, M Papadakis, YL Traon
arXiv preprint arXiv:2012.11701 326, 2020
122020
On comparing mutation testing tools through learning-based mutant selection
M Ojdanic, A Khanfir, A Garg, R Degiovanni, M Papadakis, Y Le Traon
2023 IEEE/ACM International Conference on Automation of Software Test (AST …, 2023
42023
Vulnerability mimicking mutants
A Garg, R Degiovanni, M Papadakis, YL Traon
arXiv preprint arXiv:2303.04247, 2023
32023
Assertion Inferring Mutants
A Garg, R Degiovanni, F Molina, M Papadakis, N Aguirre, M Cordy, ...
arXiv preprint arXiv:2301.12284, 2023
22023
Enabling efficient assertion inference
A Garg, R Degiovanni, F Molina, M Cordy, N Aguirre, M Papadakis, ...
2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023
12023
Guiding Quality Assurance Through Context Aware Learning
A Garg
Unilu-University of Luxembourg, Luxembourg, 2023
2023
On the Coupling between Vulnerabilities and LLM-generated Mutants: A Study on Vul4J dataset
A Garg, R Degiovanni, M Papadakis, Y Le Traon
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)| 979-8-3503-1594-3/23/$31.00© 2023 IEEE| DOI: 10.1109/ISSRE59848. 2023.00011
JG Adigun, UK Agarwal, N Aguirre, H Ahmadvand, D Aloise, A Arrieta, ...
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