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Daily Questionnaire to Assess Self-Reported Well-Being during a Software Development Project

机译:每日问卷评估软件开发项目中的自我报告的福祉

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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.
机译:根据作者最佳知识,这篇研讨会论文对软件工程研究进行了两种新颖延伸。首先,我们通过八个月创建和执行每日问卷监测软件开发人员的工作福祉。其次,我们利用开发的统计方法来发现心理动态来分析这些数据。我们的调查问卷包括工作满意度调查和一个软件开发特定元素的元素。每天收集数据,每天在一个软件开发项目中持续8个月,从八个开发人员产生526个答案。初步分析显示急忙和中断之间的最强相关性。此外,我们构建了用于从调查问卷响应中发现心理动态的时间和同期网络模型。在未来,我们将尝试在调查响应与通过进行软件储存型挖掘和情感分析来收集的措施之间建立联系。

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