The emotional side of software developers in JIRA

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

doi:10.1145/2901739.2903505

The emotional side of software developers in JIRA

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

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

53 Citations (Scopus)

Abstract

Issue tracking systems store valuable data for testing hypotheses concerning maintenance, building statistical prediction models and (recently) investigating developer affectiveness. For the latter, issue tracking systems can be mined to explore developers emotions, sentiments and politeness |affects for short. However, research on affect detection in software artefacts is still in its early stage due to the lack of manually validated data and tools. In this paper, we contribute to the research of affects on software artefacts by providing a labeling of emotions present on issue comments. We manually labeled 2,000 issue comments and 4,000 sentences written by developers with emotions such as love, joy, surprise, anger, sadness and fear. Labeled comments and sentences are linked to software artefacts reported in our previously published dataset (containing more than 1K projects, more than 700K issue reports and more than 2 million issue comments). The enriched dataset presented in this paper allows the investigation of the role of affects in software development.

Original language	English
Title of host publication	MSR '16: Proceedings of the 13th International Conference on Mining Software Repositories
Publisher	ACM Press
Pages	480-483
Number of pages	4
ISBN (Electronic)	9781450341868
DOIs	https://doi.org/10.1145/2901739.2903505
Publication status	Published - 14 May 2016
Event	13th Working Conference on Mining Software Repositories, MSR 2016 - Austin, United States Duration: 14 May 2016 → 15 May 2016

Conference

Conference	13th Working Conference on Mining Software Repositories, MSR 2016
Country/Territory	United States
City	Austin
Period	14/05/16 → 15/05/16

Keywords

Affective analysis
Issue reports
Mining software repositories

Access to Document

10.1145/2901739.2903505Licence: Other

Cite this

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title = "The emotional side of software developers in JIRA",

abstract = "Issue tracking systems store valuable data for testing hypotheses concerning maintenance, building statistical prediction models and (recently) investigating developer affectiveness. For the latter, issue tracking systems can be mined to explore developers emotions, sentiments and politeness |affects for short. However, research on affect detection in software artefacts is still in its early stage due to the lack of manually validated data and tools. In this paper, we contribute to the research of affects on software artefacts by providing a labeling of emotions present on issue comments. We manually labeled 2,000 issue comments and 4,000 sentences written by developers with emotions such as love, joy, surprise, anger, sadness and fear. Labeled comments and sentences are linked to software artefacts reported in our previously published dataset (containing more than 1K projects, more than 700K issue reports and more than 2 million issue comments). The enriched dataset presented in this paper allows the investigation of the role of affects in software development.",

keywords = "Affective analysis, Issue reports, Mining software repositories",

author = "Marco Ortu and Alessandro Murgia and Giuseppe Destefanis and Parastou Tourani and Roberto Tonelli and Michele Marchesi and Bram Adams",

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month = may,

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booktitle = "MSR '16: Proceedings of the 13th International Conference on Mining Software Repositories",

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note = "13th Working Conference on Mining Software Repositories, MSR 2016 ; Conference date: 14-05-2016 Through 15-05-2016",

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Ortu, M, Murgia, A, Destefanis, G, Tourani, P, Tonelli, R, Marchesi, M & Adams, B 2016, The emotional side of software developers in JIRA. in MSR '16: Proceedings of the 13th International Conference on Mining Software Repositories. ACM Press, pp. 480-483, 13th Working Conference on Mining Software Repositories, MSR 2016, Austin, United States, 14/05/16. https://doi.org/10.1145/2901739.2903505

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AU - Ortu, Marco

AU - Murgia, Alessandro

AU - Destefanis, Giuseppe

AU - Tourani, Parastou

AU - Tonelli, Roberto

AU - Marchesi, Michele

AU - Adams, Bram

PY - 2016/5/14

Y1 - 2016/5/14

N2 - Issue tracking systems store valuable data for testing hypotheses concerning maintenance, building statistical prediction models and (recently) investigating developer affectiveness. For the latter, issue tracking systems can be mined to explore developers emotions, sentiments and politeness |affects for short. However, research on affect detection in software artefacts is still in its early stage due to the lack of manually validated data and tools. In this paper, we contribute to the research of affects on software artefacts by providing a labeling of emotions present on issue comments. We manually labeled 2,000 issue comments and 4,000 sentences written by developers with emotions such as love, joy, surprise, anger, sadness and fear. Labeled comments and sentences are linked to software artefacts reported in our previously published dataset (containing more than 1K projects, more than 700K issue reports and more than 2 million issue comments). The enriched dataset presented in this paper allows the investigation of the role of affects in software development.

AB - Issue tracking systems store valuable data for testing hypotheses concerning maintenance, building statistical prediction models and (recently) investigating developer affectiveness. For the latter, issue tracking systems can be mined to explore developers emotions, sentiments and politeness |affects for short. However, research on affect detection in software artefacts is still in its early stage due to the lack of manually validated data and tools. In this paper, we contribute to the research of affects on software artefacts by providing a labeling of emotions present on issue comments. We manually labeled 2,000 issue comments and 4,000 sentences written by developers with emotions such as love, joy, surprise, anger, sadness and fear. Labeled comments and sentences are linked to software artefacts reported in our previously published dataset (containing more than 1K projects, more than 700K issue reports and more than 2 million issue comments). The enriched dataset presented in this paper allows the investigation of the role of affects in software development.

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KW - Mining software repositories

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M3 - Conference contribution

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ER -

The emotional side of software developers in JIRA

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Conference

Keywords

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