Daily questionnaire to assess self-reported well-being during a software development project
Kuutila, Miikka; Mäntylä, Mika V.; Claes, Maëlick; Elovainio, Marko (2018-06-02)
Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes, and Marko Elovainio. 2018. Daily questionnaire to assess self-reported well-being during a software development project. In Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering (SEmotion '18). ACM, New York, NY, USA, 39-43. DOI: https://doi.org/10.1145/3194932.3194942
© ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering (SEmotion '18), https://doi.org/10.1145/3194932.3194942.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe201901041323
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Abstract
According to authors best knowledge, this workshop paper makes two novel extensions to software engineering research. First, we create and execute a daily questionnaire monitoring the work well-being of software developers through a period of eight months. Second, we utilize statistical methods developed for discovering psychological dynamics to analyze this data. Our questionnaire includes elements from job satisfaction surveys and one software development specific element. The data were collected every day for a period of 8 months in a single software development project producing 526 answers from eight developers. The preliminary analysis shows the strongest correlations between hurry and interruptions. Additionally, we constructed temporal and contemporaneous network models used for discovering psychological dynamics from the questionnaire responses. In the future, we will try to establish links between the survey responses and the measures collected by conducting software repository mining and sentiment analysis.
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