| What is wrong with topic modeling? And how to fix it using search-based software engineering A Agrawal, W Fu, T Menzies Information and Software Technology 98, 74-88, 2018 | 271 | 2018 |
| Is" better data" better than" better data miners"? on the benefits of tuning SMOTE for defect prediction A Agrawal, T Menzies Proceedings of the 40th International Conference on Software engineering …, 2018 | 227 | 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 | 69 | 2018 |
| How to “dodge” complex software analytics A Agrawal, W Fu, D Chen, X Shen, T Menzies IEEE Transactions on Software Engineering 47 (10), 2182-2194, 2019 | 60 | 2019 |
| Finding trends in software research G Mathew, A Agrawal, T Menzies IEEE Transactions on Software Engineering 49 (4), 1397-1410, 2018 | 44 | 2018 |
| 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 | 39 | 2018 |
| 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 | 34 | 2018 |
| Better software analytics via “DUO”: Data mining algorithms using/used-by optimizers A Agrawal, T Menzies, LL Minku, M Wagner, Z Yu Empirical Software Engineering 25 (3), 2099-2136, 2020 | 30 | 2020 |
| Data-driven search-based software engineering V Nair, A Agrawal, J Chen, W Fu, G Mathew, T Menzies, L Minku, ... Proceedings of the 15th International Conference on Mining Software …, 2018 | 28 | 2018 |
| What is wrong with topic modeling?(and how to fix it using search-based se) A Agrawal, W Fu, T Menzies arXiv preprint arXiv:1608.08176, 2016 | 28 | 2016 |
| Trends in topics at SE conferences (1993-2013) G Mathew, A Agrawal, T Menzies 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 23 | 2017 |
| Simpler hyperparameter optimization for software analytics: Why, how, when? A Agrawal, X Yang, R Agrawal, R Yedida, X Shen, T Menzies IEEE Transactions on Software Engineering 48 (8), 2939-2954, 2021 | 22 | 2021 |
| The" BigSE" project: lessons learned from validating industrial text mining R Krishna, Z Yu, A Agrawal, M Dominguez, D Wolf Proceedings of the 2nd International Workshop on BIG Data Software …, 2016 | 15 | 2016 |
| Why software projects need heroes (lessons learned from 1100+ projects) S Majumder, J Chakraborty, A Agrawal, T Menzies arXiv preprint arXiv:1904.09954, 2019 | 14 | 2019 |
| Building better quality predictors using” ϵ− dominance” W Fu, T Menzies, D Chen, A Agrawal arXiv preprint arXiv:1803.04608, 2018 | 5 | 2018 |
| Is AI different for SE? A Agrawal, T Menzies NC State Univ., Aug 26, 2019 | 4 | 2019 |
| Can You Explain That, Better? Comprehensible Text Analytics for SE Applications A Agrawal, H Tu, T Menzies arXiv preprint arXiv:1804.10657, 2018 | 2 | 2018 |
| On the nature of software engineering data (implications of ε-dominance in software engineering) A Agrawal North Carolina State University, 2019 | 1 | 2019 |
| Pipelining acoustic model training for speech recognition using storm D Sitaram, H Srinivasaraghavan, K Agarwal, A Agrawal, N Joshi, D Ray 2013 Fifth International Conference on Computational Intelligence, Modelling …, 2013 | 1 | 2013 |
Tim MenziesNorth Carolina State University, Computer Science, IEEE Fellow, ASE FellowVerified email at ncsu.edu
