| Detecting and Characterizing Bots that Commit Code T Dey, S Mousavi, E Ponce, T Fry, B Vasilescu, A Filippova, A Mockus Proceedings of the 17th International Conference on Mining Software …, 2020 | 48 | 2020 |
| Are software dependency supply chain metrics useful in predicting change of popularity of npm packages? T Dey, A Mockus Proceedings of the 14th International Conference on Predictive Models and …, 2018 | 31 | 2018 |
| A Dataset and an Approach for Identity Resolution of 38 Million Author IDs extracted from 2B Git Commits T Fry, T Dey, A Karnauch, A Mockus IEEE International Working Conference on Mining Software Repositories, 518–522, 2020 | 25 | 2020 |
| Patterns of effort contribution and demand and user classification based on participation patterns in npm ecosystem T Dey, Y Ma, A Mockus Proceedings of the fifteenth international conference on predictive models …, 2019 | 23 | 2019 |
| Representation of developer expertise in open source software T Dey, A Karnauch, A Mockus 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 19* | 2021 |
| Deriving a usage-independent software quality metric T Dey, A Mockus Empirical Software Engineering 25 (2), 1596-1641, 2020 | 19 | 2020 |
| Analysis of popularity of game mods: A case study T Dey, JL Massengill, A Mockus Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in …, 2016 | 19* | 2016 |
| Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem T Dey, A Mockus Proceedings of the 14th ACM/IEEE International Symposium on Empirical …, 2020 | 17* | 2020 |
| Modeling relationship between post-release faults and usage in mobile software T Dey, A Mockus Proceedings of the 14th International Conference on Predictive Models and …, 2018 | 17 | 2018 |
| An Exploratory Study of Bot Commits T Dey, B Vasilescu, A Mockus ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on …, 2020 | 16 | 2020 |
| World of code: enabling a research workflow for mining and analyzing the universe of open source VCS data Y Ma, T Dey, C Bogart, S Amreen, M Valiev, A Tutko, D Kennard, ... Empirical Software Engineering 26 (2), 1-42, 2021 | 14 | 2021 |
| A methodology for measuring FLOSS ecosystems S Amreen, B Bichescu, R Bradley, T Dey, Y Ma, A Mockus, S Mousavi, ... Towards Engineering Free/Libre Open Source Software (FLOSS) Ecosystems for …, 2019 | 11 | 2019 |
| Crowdsourcing the discovery of software repositories in an educational environment Y Ma, T Dey, JM Smith, N Wilder, A Mockus PeerJ Preprints 4, e2551v1, 2016 | 8 | 2016 |
| Do code review measures explain the incidence of post-release defects? A Krutauz, T Dey, PC Rigby, A Mockus Empirical Software Engineering 25 (5), 3323-3356, 2020 | 4 | 2020 |
| The Secret Life of Hackathon Code Where does it come from and where does it go? A Imam, T Dey, A Nolte, A Mockus, JD Herbsleb 2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021 | 3* | 2021 |
| A Dataset of Pull Requests and A Trained Random Forest Model for predicting Pull Request Acceptance.(May 2020) T Dey, A Mockus https://doi.org/10.5281/zenodo.3858032, 2020 | 2 | 2020 |
| A dataset of Bot Commits.(Jan. 2020) T Dey, S Mousavi, E Ponce, T Fry, B Vasilescu, A Filippova, A Mockus https://doi.org/10.5281/zenodo.3610205, 2020 | 2 | 2020 |
| Tracking Hackathon Code Creation and Reuse A Imam, T Dey 2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021 | 1 | 2021 |
| Modeling User-Affected Software Properties for Open Source Software Supply Chains T Dey University of Tennessee, 2020 | 1 | 2020 |
| A matching based theoretical framework for estimating probability of causation T Dey, A Mockus arXiv preprint arXiv:1808.04139, 2018 | 1 | 2018 |
Audris MockusUniversity of TennesseeVerified email at mockus.org
