Tapajit Dey
Tapajit Dey
Graduate Student in Computer Science, University of Tennessee,Knoxville
Verified email at vols.utk.edu - Homepage
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
122018
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
82018
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
82016
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
72019
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
52019
Deriving a usage-independent software quality metric
T Dey, A Mockus
Empirical Software Engineering 25 (2), 1596-1641, 2020
42020
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
42016
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
arXiv preprint arXiv:2003.08349, 2020
32020
Detecting and Characterizing Bots that Commit Code
T Dey, S Mousavi, E Ponce, T Fry, B Vasilescu, A Filippova, A Mockus
arXiv preprint arXiv:2003.03172, 2020
32020
An Exploratory Study of Bot Commits
T Dey, B Vasilescu, A Mockus
arXiv preprint arXiv:2003.07961, 2020
22020
Which Pull Requests Get Accepted and Why? A study of popular NPM Packages
T Dey, A Mockus
arXiv preprint arXiv:2003.01153, 2020
22020
A dataset of Bot Commits.(Jan. 2020)
T Dey, S Mousavi, E Ponce, T Fry, B Vasilescu, A Filippova, A Mockus
https://zenodo.org/record/3694401, 2020
22020
Representation of Developer Expertise in Open Source Software
T Dey, A Karnauch, A Mockus
arXiv preprint arXiv:2005.10176, 2020
12020
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
Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem
T Dey, A Mockus
arXiv preprint arXiv:2007.04816, 2020
2020
A Dataset of Pull Requests and A Trained Random Forest Model for predicting Pull Request Acceptance
T Dey, A Mockus
https://zenodo.org/record/3858046, 2020
2020
Do Code Review Measures Explain the Incidence of Post-Release Defects?
A Krutauz, T Dey, PC Rigby, A Mockus
arXiv preprint arXiv:2005.09217, 2020
2020
A mapping between Bot Commit, Projects, Files, and Blobs
T Dey, B Vasilescu, A Mockus
https://zenodo.org/record/3699665, 2020
2020
2019 Reviewer Acknowledgment
M Fearon
Empirical Software Engineering 25 (2), 1031-1034, 2020
2020
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