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GARG Aayush

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal

Main Referenced Co-authors
DEGIOVANNI, Renzo Gaston  (4)
LE TRAON, Yves  (4)
PAPADAKIS, Michail  (4)
OJDANIĆ, Miloš  (3)
KHANFIR, Ahmed  (2)
Main Referenced Keywords
Mutation Testing (2); Empirical Comparison (1); Empirical Study (1); Fault Injection (1); Fault Seeding (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SerVal - Security, Reasoning & Validation (2)
Main Referenced Disciplines
Computer science (5)

Publications (total 5)

The most downloaded
161 downloads
Garg, A. (2023). Guiding Quality Assurance Through Context Aware Learning [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55042 https://hdl.handle.net/10993/55042

The most cited

6 citations (OpenCitations)

Garg, A., Ojdanic, M., Degiovanni, R. G., Titcheu Chekam, T., Papadakis, M., & Le Traon, Y. (2023). Cerebro: Static Subsuming Mutant Selection. IEEE Transactions on Software Engineering. doi:10.1109/TSE.2022.3140510 https://hdl.handle.net/10993/49189

Garg, A. (2023). Guiding Quality Assurance Through Context Aware Learning [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55042

Garg, A., Ojdanic, M., Degiovanni, R. G., Titcheu Chekam, T., Papadakis, M., & Le Traon, Y. (2023). Cerebro: Static Subsuming Mutant Selection. IEEE Transactions on Software Engineering. doi:10.1109/TSE.2022.3140510
Peer reviewed

Ojdanic, M., Khanfir, A., Garg, A., Degiovanni, R. G., Papadakis, M., & Le Traon, Y. (2023). On Comparing Mutation Testing Tools through Learning-based Mutant Selection. In On Comparing Mutation Testing Tools through Learning-based Mutant Selection (pp. 10). doi:10.1109/AST58925.2023.00008
Peer reviewed

Ojdanic, M., Garg, A., Khanfir, A., Degiovanni, R. G., Papadakis, M., & Le Traon, Y. (2023). Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/49190. doi:10.1109/TSE.2023.3277564

Garg, A., Degiovanni, R. G., Jimenez, M., Cordy, M., Papadakis, M., & Le Traon, Y. (2022). Learning from what we know: How to perform vulnerability prediction using noisy historical data. Empirical Software Engineering. doi:10.1007/s10664-022-10197-4
Peer Reviewed verified by ORBi

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