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A Versatile Dataset of Agile Open Source Software Projects

Tawosi, Vali; Al-Subaihin, Afnan; Moussa, Rebecca; Sarro, Federica; (2022) A Versatile Dataset of Agile Open Source Software Projects. In: Proceedings of the 19th International Conference on Mining Software Repositories (MSR ’22). (pp. pp. 707-711). ACM Green open access

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Abstract

Agile software development is nowadays a widely adopted practise in both open-source and industrial software projects. Agile teams typically heavily rely on issue management tools to document new issues and keep track of outstanding ones, in addition to storing their technical details, effort estimates, assignment to developers, and more. Previous work utilised the historical information stored in issue management systems for various purposes; however, when researchers make their empirical data public, it is usually relevant solely to the study’s objective. In this paper, we present a more holistic and versatile dataset containing a wealth of information on more than half a million issues from 44 open-source Agile software, making it well-suited to several research avenues, and cross-analyses therein, including effort estimation, issue prioritisation, issue assignment and many more. We make this data publicly available on GitHub to facilitate ease of use, maintenance, and extensibility.

Type: Proceedings paper
Title: A Versatile Dataset of Agile Open Source Software Projects
Event: 19th International Conference on Mining Software Repositories (MSR ’22)
Location: Pittsburg (PA), US
Dates: 18th-20th May 2022 (Virtual) and 23rd-24th May 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3524842.3528029
Publisher version: https://doi.org/10.1145/3524842.3528029
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Agile Development, Open-Source Software, Data Mining
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10149748
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