The JIRA repository dataset: Understanding social aspects of software development

Marco Ortu; Giuseppe Destefanis; Bram Adams; Alessandro Murgia; Michele Marchesi; Roberto Tonelli

doi:10.1145/2810146.2810147

The JIRA repository dataset: Understanding social aspects of software development

Marco Ortu, Giuseppe Destefanis, Bram Adams, Alessandro Murgia, Michele Marchesi, Roberto Tonelli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

33 Citations (Scopus)

Abstract

Issue tracking systems store valuable data for testing hypotheses concerning maintenance, building statistical prediction models and recently investigating developers "affectiveness". In particular, the Jira Issue Tracking System is a proprietary tracking system that has gained a tremendous popularity in the last years and offers unique features like the project management system and the Jira agile kanban board. This paper presents a dataset extracted from the Jira ITS of four popular open source ecosystems (as well as the tools and infrastructure used for extraction) the Apache Software Foundation, Spring, JBoss and CodeHaus communities. Our dataset hosts more than 1K projects, containing more than 700K issue reports and more than 2 million issue comments. Using this data, we have been able to deeply study the communication process among developers, and how this aspect affects the development process. Further-more, comments posted by developers contain not only technical information, but also valuable information about sentiments and emotions. Since sentiment analysis and human aspects in software engineering are gaining more and more importance in the last years, with this repository we would like to encourage further studies in this direction.

Original language	English
Title of host publication	11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015
Publisher	ACM Press
Pages	1-4
Number of pages	4
Volume	2015-October
ISBN (Electronic)	9781450337151
DOIs	https://doi.org/10.1145/2810146.2810147
Publication status	Published - 21 Oct 2015
Event	11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015 - Beijing, China Duration: 21 Oct 2015 → …

Conference

Conference	11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015
Country/Territory	China
City	Beijing
Period	21/10/15 → …

Keywords

Affective Analysis
Issue Report
Mining software repository

Access to Document

10.1145/2810146.2810147Licence: Unspecified

Cite this

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title = "The JIRA repository dataset: Understanding social aspects of software development",

abstract = "Issue tracking systems store valuable data for testing hypotheses concerning maintenance, building statistical prediction models and recently investigating developers {"}affectiveness{"}. In particular, the Jira Issue Tracking System is a proprietary tracking system that has gained a tremendous popularity in the last years and offers unique features like the project management system and the Jira agile kanban board. This paper presents a dataset extracted from the Jira ITS of four popular open source ecosystems (as well as the tools and infrastructure used for extraction) the Apache Software Foundation, Spring, JBoss and CodeHaus communities. Our dataset hosts more than 1K projects, containing more than 700K issue reports and more than 2 million issue comments. Using this data, we have been able to deeply study the communication process among developers, and how this aspect affects the development process. Further-more, comments posted by developers contain not only technical information, but also valuable information about sentiments and emotions. Since sentiment analysis and human aspects in software engineering are gaining more and more importance in the last years, with this repository we would like to encourage further studies in this direction.",

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booktitle = "11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015",

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Ortu, M, Destefanis, G, Adams, B, Murgia, A, Marchesi, M & Tonelli, R 2015, The JIRA repository dataset: Understanding social aspects of software development. in 11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015. vol. 2015-October, 1, ACM Press, pp. 1-4, 11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015, Beijing, China, 21/10/15. https://doi.org/10.1145/2810146.2810147

The JIRA repository dataset: Understanding social aspects of software development. / Ortu, Marco; Destefanis, Giuseppe; Adams, Bram et al.
11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015. Vol. 2015-October ACM Press, 2015. p. 1-4 1.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Marchesi, Michele

AU - Tonelli, Roberto

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The JIRA repository dataset: Understanding social aspects of software development

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