NDLI: The emotional side of software developers in JIRA

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The emotional side of software developers in JIRA

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The emotional side of software developers in JIRA

Content Provider	ACM Digital Library
Author	Ortu, Marco Marchesi, Michele Murgia, Alessandro Adams, Bram Destefanis, Giuseppe Tourani, Parastou Tonelli, Roberto
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.
Starting Page	480
Ending Page	483
Page Count	4
File Format	PDF
ISBN	9781450341868
DOI	10.1145/2901739.2903505
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-05-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Affective analysis Issue reports Mining software repositories
Content Type	Text
Resource Type	Article

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