Print Email Facebook Twitter Bots for Pull Requests Title Bots for Pull Requests: The Good, the Bad, and the Promising Author Wessel, Mairieli (TU Delft Software Engineering) Abdellatif, Ahmad (Concordia University) Wiese, Igor Scaliante (Universidade Tecnológica Federal Do Paraná (UTFPR)) Conte, Tayana (Federal University of Amazonas) Shihab, Emad (Concordia University) Gerosa, Marco Aurélio (Universidade de Sao Paulo; Northern Arizona University) Steinmacher, Igor (Northern Arizona University) Date 2022 Abstract Software bots automate tasks within Open Source Software (OSS) projects’ pull requests and save reviewing time and effort (“the good”). However, their interactions can be disruptive and noisy and lead to information overload (“the bad”). To identify strategies to overcome such problems, we applied Design Fiction as a participatory method with 32 practitioners. We elicited 22 design strategies for a bot mediator or the pull request user interface (“the promising”). Participants envisioned a separate place in the pull request interface for bot interactions and a bot mediator that can summarize and customize other bots’ actions to mitigate noise. We also collected participants’ perceptions about a prototype implementing the envisioned strategies. Our design strategies can guide the development of future bots and social coding platforms. Subject Software BotsGitHub BotsHuman-bot InteractionOpen Source SoftwareAutomationCollaborative DevelopmentDesign Fiction To reference this document use: http://resolver.tudelft.nl/uuid:3b5065c0-f83a-4923-aade-5fbb2855df4b DOI https://doi.org/10.1145/3510003.3512765 Publisher Association for Computer Machinery, New York ISBN 978-1-4503-9221-1 Source ICSE '22: Proceedings of the 44th International Conference on Software Engineering Part of collection Institutional Repository Document type conference paper Rights © 2022 Mairieli Wessel, Ahmad Abdellatif, Igor Scaliante Wiese, Tayana Conte, Emad Shihab, Marco Aurélio Gerosa, Igor Steinmacher Files PDF ICSE_2022_Meta_Bot_4_.pdf 996.31 KB Close viewer /islandora/object/uuid:3b5065c0-f83a-4923-aade-5fbb2855df4b/datastream/OBJ/view