Do Bots Modify the Workflow of GitHub Teams?
Autor: | Gita Sukthankar, Natalia Colmenares, Samaneh Saadat |
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Rok vydání: | 2021 |
Předmět: |
FOS: Computer and information sciences
Teamwork Computer science Event (computing) media_common.quotation_subject Computer Science - Human-Computer Interaction Human-Computer Interaction (cs.HC) Software Engineering (cs.SE) World Wide Web Computer Science - Software Engineering Workflow Documentation Task analysis Set (psychology) Coding (social sciences) media_common |
Zdroj: | BotSE@ICSE |
DOI: | 10.1109/botse52550.2021.00008 |
Popis: | The ever-increasing complexity of modern software engineering projects makes the usage of automated assistants imperative. Bots can be used to complete repetitive tasks during development and testing, as well as promoting communication between team members through issue reporting and documentation. Although the ultimate aim of these automated assistants is to speed taskwork completion, their inclusion into GitHub repositories may affect teamwork as well. This paper studies the question of how bots modify the team workflow. We examined the event sequences of repositories with bots and without bots using a contrast motif discovery method to detect subsequences that are more prevalent in one set of event sequences vs. the other. Our study reveals that teams with bots are more likely to intersperse comments throughout their coding activities, while not actually being more prolific commenters. |
Databáze: | OpenAIRE |
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