| 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 | 46 | 2016 |
| Bellwethers: A Baseline Method For Transfer Learning R Krishna, T Menzies IEEE Transactions on Software Engineering, 2018 | 44 | 2018 |
| 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 | 34* | 2018 |
| "Sampling" as a Baseline Optimizer for Search-based Software Engineering J Chen, V Nair, R Krishna, T Menzies IEEE Transactions on Software Engineering, 2018 | 28 | 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 | 27 | 2014 |
| The seacraft repository of empirical software engineering data T Menzies, R Krishna, D Pryor Retrieved March, 2017 | 23* | 2017 |
| Less is more: Minimizing code reorganization using XTREE R Krishna, T Menzies, L Layman Information and Software Technology 88, 53-66, 2017 | 20 | 2017 |
| 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 | 19* | 2018 |
| Hyperparameter optimization for effort estimation T Xia, R Krishna, J Chen, G Mathew, X Shen, T Menzies arXiv preprint arXiv:1805.00336, 2018 | 18 | 2018 |
| 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 | 15 | 2018 |
| The 'BigSE' Project: Lessons Learned from Validating Industrial Text Mining R Krishna, Z Yu, A Agrawal, M Dominguez, D Wolf Big Data Software Engineering (BIGDSE), 2016 IEEE/ACM 2nd International …, 2016 | 14 | 2016 |
| 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 | 12* | 2018 |
| An Adaptive blind video watermarking technique based on SD-BPSO and DWT-SVD P Prathik, R Krishna, RA Nafde, K Shreedarshan 2013 International Conference on Computer Communication and Informatics, 1-6, 2013 | 12 | 2013 |
| Learning actionable analytics from multiple software projects R Krishna, T Menzies Empirical Software Engineering 25 (5), 3468-3500, 2020 | 7* | 2020 |
| Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE R Krishna, V Nair, P Jamshidi, T Menzies IEEE Transactions on Software Engineering, 2020 | 6* | 2020 |
| 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 | 6 | 2019 |
| Strengthening the evidence that attack surfaces can be approximated with stack traces C Theisen, R Krishna, L Williams North Carolina State University Department of Computer Science TR2015-10 …, 2015 | 5 | 2015 |
| Actionable=Cluster+Contrast? R Krishna, T Menzies Automated Software Engineering Workshop (ASEW), 2015 30th IEEE/ACM …, 2015 | 3 | 2015 |
| From Prediction to Planning: Improving Software Quality with BELLTREE R Krishna, T Menzies | 1 | |
| CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning R Krishna, MS Iqbal, MA Javidian, B Ray, P Jamshidi arXiv preprint arXiv:2010.06061, 2020 | | 2020 |
Tim MenziesIEEE Fellow,prof,CS+AI,ex-nurse,rocketman,taxi-driver,journalist (it all made sense at the time)Verified email at ieee.org
