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dc.contributor.authorOrtu, M-
dc.contributor.authorMurgia, A-
dc.contributor.authorDestefanis, G-
dc.contributor.authorTourani, P-
dc.contributor.authorTonelli, R-
dc.contributor.authorMarchesi, M-
dc.contributor.authorAdams, B-
dc.identifier.citationProceedings - 13th Working Conference on Mining Software Repositories, MSR 2016, pp. 480 - 483, (2016)en_US
dc.description.abstractIssue 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.en_US
dc.format.extent480 - 483-
dc.subjectMining software repositoriesen_US
dc.subjectIssue Reportsen_US
dc.subjectA↵ective Analysisen_US
dc.titleThe emotional side of software developers in JIRAen_US
dc.typeConference Paperen_US
dc.relation.isPartOfProceedings - 13th Working Conference on Mining Software Repositories, MSR 2016-
Appears in Collections:Dept of Computer Science Research Papers

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