| Optimizing predictions for very small data sets: A case study on open-source project health prediction A Lustosa, T Menzies arXiv preprint arXiv:2301.06577, 2023 | 3 | 2023 |
| Fairer software made easier (using “keys”) T Menzies, K Peng, A Lustosa 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 1 | 2021 |
| SNEAK: Faster Interactive Search-based SE A Lustosa, J Patel, VST Malapati, T Menzies arXiv preprint arXiv:2110.02922, 2021 | 1* | 2021 |
| Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health A Lustosa, T Menzies ACM Transactions on Software Engineering and Methodology 33 (3), 1-22, 2024 | | 2024 |
| Partial Orderings as Heuristic for Multi-Objective Model-Based Reasoning A Lustosa, T Menzies arXiv preprint arXiv:2310.19125, 2023 | | 2023 |
| Documenting evidence of a reuse of ‘RefactoringMiner 2.0’ A Lustosa, T Menzies Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | | 2021 |
| Documenting evidence of a reuse of ‘a systematic literature review of techniques and metrics to reduce the cost of mutation testing’ A Lustosa, T Menzies Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | | 2021 |
| Fair-SMOTE vs the AIF360 toolkit A LUSTOSA | | |
Tim MenziesNorth Carolina State University, Computer Science, IEEE Fellow, ASE FellowVerified email at ncsu.edu
