The GHTorent dataset and tool suite

By Georgios Gousios. IEEE Working Conference on Mining Software Repositories, 2013

600 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/2867eb64cc4bb1945363fdae12a168962ea823aa

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Citations in the corpus

The Pushshift Reddit Dataset (2020, background): “Social platforms and online communities like Wikipedia [47], Stack Exchange [7], GitHub [61], and Reddit [108] continue to offer open APIs and data dumps that are valuable for researchers.”
PanGu-Coder: Program Synthesis with Function-Level Language Modeling (2022, methodology): “Collection The initial dataset was collected through GHTorrent [29], an online tool that collects and stores Github public event metadata.”
Curating GitHub for engineered software projects (2017, methodology): “The project web sites for GHTorrent (2016a) and Boa (Iowa State University 2016) list more papers that employ different filtering schemes.”
An in-depth study of the promises and perils of mining GitHub (2015, methodology): “The assumptions and heuristics in GHTorrent are described and assessed in previous work (Gousios 2013; Gousios and Zaidman 2014b).”
Gender differences and bias in open source: pull request acceptance of women versus men (2017, methodology): “An initial analysis of GHTorrent pull requests showed that our pull request merge rate was significantly lower than that presented in prior work on pull requests [13].”
DéjàVu: a map of code duplicates on GitHub (2017, methodology): “The GitHub projects were downloaded using the GHTorrent database and network [Gousios 2013] which contains meta-data such as number of stars, commits, commiters, whether projects are forks, main programming language, date of creation, etc., as well as download links.”
Sampling in software engineering research: a critical review and guidelines (2020, methodology): “We could (in principle) study every public project on GitHub using GHTorrent (Gousios 2013) as our sampling frame (whole frame), randomly select 50 projects (simple random sampling), sort projects by creation date and study every 100th project (systematic random sampling), or take repeated measureme”
PyDriller: Python framework for mining software repositories (2018, methodology): “GHTorrent [9]: GHTorrent is a scalable, queriable, offlinemirror of data present on GitHub.”
The promises and perils of mining GitHub (2009, background): “Previous work [9] has analyzed the reasons why ghtorrent cannot be a full replica of GitHub.”
Cross-project code clones in GitHub (2018, methodology): “We used the January 4th, 2014 MySQL dump of the GHTorrent database (Gousios 2013) to mine the list of users, commit history and other meta-data about projects in GitHub.”
Usage, costs, and benefits of continuous integration in open-source projects (2016, methodology): “Using GHTorrent [39], we collected the full history of pull requests for each project, for a total of 653,404 pull requests.”
Quality and productivity outcomes relating to continuous integration in GitHub (2015, methodology): “We began with the GHTorrent [16] dump dated 10/11/2014.”
Gender and Tenure Diversity in GitHub Teams (2015, methodology): “We chose G IT H UB for our study because it: (i) is the largest ecosystem of its kind; (ii) has a wealth of trace data available [29]; and (iii) is known to promote women in technology through a number of initiatives, such as the Passion Projects, a series of talks aimed at providing female…”