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Gender and Tenure Diversity in GitHub Teams
Using GitHub, the largest publicly available collection of OSS projects, it is shown that both gender and tenure diversity are positive and significant predictors of productivity, together explaining a sizable fraction of the data variability.
Quality and productivity outcomes relating to continuous integration in GitHub
- Bogdan Vasilescu, Yue Yu, Huaimin Wang, Premkumar T. Devanbu, V. Filkov
- Computer ScienceESEC/SIGSOFT FSE
- 30 August 2015
The main finding is that continuous integration improves the productivity of project teams, who can integrate more outside contributions, without an observable diminishment in code quality.
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
- Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig
- Computer ScienceIEEE/ACM 15th International Conference on Mining…
- 23 May 2018
A novel method to mine high-quality aligned data from SO using two sets of features: hand-crafted features considering the structure of the extracted snippets, and correspondence features obtained by training a probabilistic model to capture the correlation between NL and code using neural networks.
StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge
- Bogdan Vasilescu, V. Filkov, Alexander Serebrenik
- Computer ScienceInternational Conference on Social Computing
- 8 September 2013
This paper investigates the interplay between Stack Overflow activities and the development process, reflected by code changes committed to the largest social coding repository, GitHub, and shows that active GitHub committers ask fewer questions and provide more answers than others.
Gender, Representation and Online Participation: A Quantitative Study of StackOverflow
- Bogdan Vasilescu, A. Capiluppi, Alexander Serebrenik
- EconomicsInternational Conference on Social Informatics
- 14 December 2012
It is confirmed that men represent the vast majority of contributors to Stack Overflow, and men participate more, earn more reputation, and engage in the "game" more than women do.
Security and emotion: sentiment analysis of security discussions on GitHub
The findings confirm the importance of properly training developers to address security concerns in their applications as well as the need to test applications thoroughly for security vulnerabilities in order to reduce frustration and improve overall project atmosphere.
How social Q&A sites are changing knowledge sharing in open source software communities
- Bogdan Vasilescu, Alexander Serebrenik, Premkumar T. Devanbu, V. Filkov
- Computer ScienceCSCW
- 15 February 2014
This study is the first to directly chart the changes in behaviour of specific contributors as they migrate into gamified environments, and has important implications for knowledge management in software engineering.
EnTagRec++: An enhanced tag recommendation system for software information sites
- Shaowei Wang, D. Lo, Bogdan Vasilescu, Alexander Serebrenik
- Computer ScienceIEEE International Conference on Software…
- 29 September 2014
EnTagRec++ is proposed, which is an advanced version of the prior work EnTagRec, which does not only integrate the historical tag assignments to software objects, but also leverages the information of users, and an initial set of tags that a user may provide for tag recommendation.
The impact of continuous integration on other software development practices: A large-scale empirical study
- Yangyang Zhao, Alexander Serebrenik, Yuming Zhou, V. Filkov, Bogdan Vasilescu
- Business32nd IEEE/ACM International Conference on…
- 30 October 2017
The adaptation and evolution of code writing and submission, issue and pull request closing, and testing practices as Travis CI is adopted by hundreds of established projects on GitHub are studied to suggest a more nuanced picture of how GitHub teams are adapting to, and benefiting from, continuous integration technology.
Lean GHTorrent: GitHub data on demand
A novel feature of GHTorrent designed to offer customisable data dumps on demand is presented, which aims to lower the "barrier for entry" even further for researchers interested in mining GitHub data and enhance the replicability of GitHub studies.