[18]	Tapajit Dey, Willem Jiang, and Brian Fitzgerald. Knights and gold stars: A tale of innersource incentivization. IEEE Software, pages 2--12, 2022. [ bib | DOI ]
[17]	Ahmed Samir Imam Mahmoud, Tapajit Dey, Alexander Nolte, Audris Mockus, and James D Herbsleb. One-off events? an empirical study of hackathon code creation and reuse. Empirical Software Engineering, 27(7):1--49, 2022. [ bib | Print (Open Access)]
[16]	Tapajit Dey, Andrey Karnauch, and Audris Mockus. Representation of developer expertise in open source software. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), pages 995--1007, 2021. [ bib | DOI | Pre-Print Slides | Talk Video ]
[15]	Ahmed Imam, Tapajit Dey, Alexander Nolte, Audris Mockus, and James D. Herbsleb. The secret life of hackathon code where does it come from and where does it go? In 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), pages 68--79, 2021. [ bib | DOI | Pre-Print]
[14]	Ahmed Imam and Tapajit Dey. Tracking hackathon code creation and reuse. In 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), pages 615--617, 2021. [ bib | DOI | Pre-Print]
[13]	Yuxing Ma, Tapajit Dey, Chris Bogart, Sadika Amreen, Marat Valiev, Adam Tutko, David Kennard, Russell Zaretzki, and Audris Mockus. World of code: enabling a research workflow for mining and analyzing the universe of open source vcs data. Empirical Software Engineering, 26(2):1--42, 2021. [ bib | https://doi.org/10.1007/s10664-020-09905-9 | Pre-Print]
[12]	Tapajit Dey and Audris Mockus. Effect of technical and social factors on pull request quality for the npm ecosystem. In Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), ESEM '20, New York, NY, USA, 2020. Association for Computing Machinery. [ bib | https://doi.org/10.1145/3382494.3410685 | Pre-Print | Slides | Talk Video ]
[11]	Tapajit Dey, Sara Mousavi, Eduardo Ponce, Tanner Fry, Bogdan Vasilescu, Anna Filippova, and Audris Mockus. Detecting and characterizing bots that commit code. In Proceedings of the 17th International Conference on Mining Software Repositories, MSR '20, page 209–219, New York, NY, USA, 2020. Association for Computing Machinery. [ bib | https://doi.org/10.1145/3379597.3387478  | Pre-Print | Slides | Talk Video ]
[10]	Tapajit Dey, Bogdan Vasilescu, and Audris Mockus. An exploratory study of bot commits. In Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW'20, page 61–65, New York, NY, USA, 2020. Association for Computing Machinery. [ bib | https://doi.org/10.1145/3387940.3391502  | Pre-Print | Slides | Talk Video ]
[9]	Tanner Fry, Tapajit Dey, Andrey Karnauch, and Audris Mockus. A dataset and an approach for identity resolution of 38 million author ids extracted from 2b git commits. In Proceedings of the 17th International Conference on Mining Software Repositories, MSR '20, page 518–522, New York, NY, USA, 2020. Association for Computing Machinery. [ bib | https://doi.org/10.1145/3379597.3387500  | Pre-Print ]
[8]	Andrey Krutauz, Tapajit Dey, Peter C. Rigby, and Audris Mockus. Do code review measures explain the incidence of post-release defects? Empirical Software Engineering, 25(5):3323--3356, Sep 2020. [ bib | https://doi.org/10.1007/s10664-020-09837-4 | Pre-Print]
[7]	Tapajit Dey and Audris Mockus. Deriving a usage-independent software quality metric. Empirical Software Engineering, 25(2):1596--1641, Mar 2020. [ bib | https://doi.org/10.1007/s10664-019-09791-w | Pre-Print]
[6]	Tapajit Dey, Yuxing Ma, and Audris Mockus. Patterns of effort contribution and demand and user classification based on participation patterns in npm ecosystem. In Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE'19, page 36–45, New York, NY, USA, 2019. Association for Computing Machinery. [ bib | https://doi.org/10.1145/3345629.3345634 | Pre-Print| Slides | ]
[5]	Sadika Amreen, Bogdan Bichescu, Randy Bradley, Tapajit Dey, Yuxing Ma, Audris Mockus, Sara Mousavi, and Russell Zaretzki. A Methodology for Measuring FLOSS Ecosystems, pages 1--29. Springer Singapore, Singapore, 2019. [ bib | https://doi.org/10.1007/978-981-13-7099-1_1 ]
[4]	Tapajit Dey and Audris Mockus. Modeling relationship between post-release faults and usage in mobile software. In Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE'18, page 56–65, New York, NY, USA, 2018. Association for Computing Machinery. [ bib | https://doi.org/10.1145/3273934.3273941 | Pre-Print| Slides | ]
[3]	Tapajit Dey and Audris Mockus. Are software dependency supply chain metrics useful in predicting change of popularity of npm packages? In Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE'18, page 66–69, New York, NY, USA, 2018. Association for Computing Machinery. [ bib | https://doi.org/10.1145/3273934.3273942 | Pre-Print| Slides | ]
[2]	Tapajit Dey, Jacob Logan Massengill, and Audris Mockus. Analysis of popularity of game mods: A case study. In Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, CHI PLAY Companion '16, page 133–139, New York, NY, USA, 2016. Association for Computing Machinery. [ bib | https://doi.org/10.1145/2968120.2987724 | Pre-Print]
[1]	Yuxing Ma, Tapajit Dey, and Audris Mockus. Modularizing global variable in climate simulation software: Position paper. In Proceedings of the International Workshop on Software Engineering for Science, SE4Science '16, page 8–11, New York, NY, USA, 2016. Association for Computing Machinery. [ bib | https://doi.org/10.1145/2897676.2897681 | Pre-Print]