Daily questionnaire to assess self-reported well-being during a software development project |
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Author: | Kuutila, Miikka1; Mäntylä, Mika V.1; Claes, Maëlick1; |
Organizations: |
1University of Oulu, Oulu, Finland 2University of Helsinki, Helsinki, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.4 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe201901041323 |
Language: | English |
Published: |
Association for Computing Machinery,
2018
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Publish Date: | 2019-01-04 |
Description: |
AbstractAccording 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. see all
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ISBN: | 978-1-4503-5751-7 |
Pages: | 39 - 43 |
DOI: | 10.1145/3194932.3194942 |
OADOI: | https://oadoi.org/10.1145/3194932.3194942 |
Host publication: |
SEmotion '18. Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, Gothenburg, Sweden, May 27 - June 3, 2018 |
Conference: |
International Workshop on Emotion Awareness in Software Engineering |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
The first, second and third author have been supported by Academy of Finland grant 298020. The first author has been supported by Kaute-foundation. |
Academy of Finland Grant Number: |
298020 |
Detailed Information: |
298020 (Academy of Finland Funding decision) |
Copyright information: |
© 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. |