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Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity?

, , , , and . MSR, page 247-258. ACM, (2016)

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How diverse is your team? Investigating gender and nationality diversity in GitHub teams., , , , , and . PeerJ PrePrints, (2016)113 times Tomcat: A dataset., , , , , , and . PeerJ PrePrints, (2018)Software development: do good manners matter?, , , , and . PeerJ PrePrints, (2015)Empirical analysis of affect of merged issues on GitHub., , and . SEmotion@ICSE, page 46-48. IEEE / ACM, (2019)On the randomness and seasonality of affective metrics for software development., , , , , and . SAC, page 1266-1271. ACM, (2017)Analysing Developers Affectiveness through Markov chain Models., , , , , and . CoRR, (2018)The emotional side of software developers in JIRA., , , , , , and . MSR, page 480-483. ACM, (2016)The JIRA Repository Dataset: Understanding Social Aspects of Software Development., , , , , and . PROMISE, page 1:1-1:4. ACM, (2015)Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity?, , , , and . MSR, page 247-258. ACM, (2016)An exploratory qualitative and quantitative analysis of emotions in issue report comments of open source systems., , , , and . Empirical Software Engineering, 23 (1): 521-564 (2018)