Tapajit Dey
Title
Cited by
Cited by
Year
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
142018
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
92019
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
92018
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
92016
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
72020
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
62020
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
62019
Deriving a usage-independent software quality metric
T Dey, A Mockus
Empirical Software Engineering 25 (2), 1596-1641, 2020
52020
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
52016
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
4*2020
An Exploratory Study of Bot Commits
T Dey, B Vasilescu, A Mockus
ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on …, 2020
32020
Representation of Developer Expertise in Open Source Software
T Dey, A Karnauch, A Mockus
arXiv preprint arXiv:2005.10176, 2020
22020
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
22020
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
22020
A matching based theoretical framework for estimating probability of causation
T Dey, A Mockus
arXiv preprint arXiv:1808.04139, 2018
12018
Modularizing global variable in climate simulation software: position paper
Y Ma, T Dey, A Mockus
Proceedings of the International Workshop on Software Engineering for …, 2016
12016
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, ...
arXiv preprint arXiv:2010.16196, 2020
2020
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
2020
A mapping between Bot Commit, Projects, Files, and Blobs
T Dey, B Vasilescu, A Mockus
https://doi.org/10.5281/zenodo.3699664, 2020
2020
2019 Reviewer Acknowledgment
M Fearon
Empirical Software Engineering 25 (2), 1031-1034, 2020
2020
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