Deep learning based vulnerability detection: Are we there yet? S Chakraborty, R Krishna, Y Ding, B Ray IEEE Transactions on Software Engineering, 2021 | 429 | 2021 |
Bellwethers: A Baseline Method For Transfer Learning R Krishna, T Menzies IEEE Transactions on Software Engineering, 2018 | 91 | 2018 |
Too much automation? The bellwether effect and its implications for transfer learning R Krishna, T Menzies, W Fu Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016 | 77 | 2016 |
We don't need another hero? The impact of heroes on software development A Agrawal, A Rahman, R Krishna, A Sobran, T Menzies Proceedings of the 40th International Conference on Software Engineering …, 2018 | 72 | 2018 |
MTFuzz: Fuzzing with a Multi-Task Neural Network D She, R Krishna, L Yan, S Jana, B Ray 2020 ACM 28th Symposium on the Foundations of Software Engineering (ECSE/FSE), 2020 | 64 | 2020 |
"Sampling" as a Baseline Optimizer for Search-based Software Engineering J Chen, V Nair, R Krishna, T Menzies IEEE Transactions on Software Engineering, 2018 | 59 | 2018 |
Mono2micro: a practical and effective tool for decomposing monolithic java applications to microservices AK Kalia, J Xiao, R Krishna, S Sinha, M Vukovic, D Banerjee Proceedings of the 29th ACM joint meeting on European software engineering …, 2021 | 56 | 2021 |
Hyperparameter optimization for effort estimation T Xia, R Krishna, J Chen, G Mathew, X Shen, T Menzies arXiv preprint arXiv:1805.00336, 2018 | 54 | 2018 |
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code R Pan, AR Ibrahimzada, R Krishna, D Sankar, LP Wassi, M Merler, ... 46th International Conference on Software Engineering (ICSE 2024), 2023 | 47* | 2023 |
Applications of psychological science for actionable analytics D Chen, W Fu, R Krishna, T Menzies 2018 ACM 26th Symposium on the Foundations of Software Engineering (ECSE/FSE …, 2018 | 47 | 2018 |
Whence to learn? transferring knowledge in configurable systems using beetle R Krishna, V Nair, P Jamshidi, T Menzies IEEE Transactions on Software Engineering 47 (12), 2956-2972, 2020 | 46* | 2020 |
What is the connection between issues, bugs, and enhancements? Lessons learned from 800+ software projects R Krishna, A Agrawal, A Rahman, A Sobran, T Menzies Proceedings of the 40th International Conference on Software Engineering …, 2018 | 44 | 2018 |
Entropy based Binary Particle Swarm Optimization and classification for ear detection MR Ganesh, R Krishna, K Manikantan, S Ramachandran Engineering Applications of Artificial Intelligence 27, 115-128, 2014 | 39 | 2014 |
The seacraft repository of empirical software engineering data T Menzies, R Krishna, D Pryor https://zenodo.org/communities/seacraft, 2017 | 36* | 2017 |
Characterizing the influence of continuous integration: Empirical results from 250+ open source and proprietary projects A Rahman, A Agrawal, R Krishna, A Sobran Proceedings of the 4th ACM SIGSOFT International Workshop on Software …, 2018 | 35 | 2018 |
Unicorn: Reasoning about Configurable System Performance through the lens of Causality MS Iqbal, R Krishna, MA Javidian, B Ray, P Jamshidi In Proceedings of the Seventeenth European Conference on Computer Systems …, 2022 | 29 | 2022 |
Less is more: Minimizing code reorganization using XTREE R Krishna, T Menzies, L Layman Information and Software Technology 88, 53-66, 2017 | 23 | 2017 |
iSENSE: Completion-aware crowdtesting management J Wang, Y Yang, R Krishna, T Menzies, Q Wang 2019 IEEE/ACM 41st international conference on software engineering (ICSE …, 2019 | 21 | 2019 |
ConEx: Efficient exploration of big-data system configurations for better performance R Krishna, C Tang, K Sullivan, B Ray IEEE Transactions on Software Engineering 48 (3), 893-909, 2020 | 18 | 2020 |
Learning actionable analytics from multiple software projects R Krishna, T Menzies Empirical Software Engineering 25 (5), 3468-3500, 2020 | 16* | 2020 |