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Classifying Issues into Custom Labels in GitBot

Authors
Park, DojeCho, HeetaeLee, Seonah
Issue Date
2022
Publisher
IEEE
Keywords
Classification; FastText; Custom label; GitBot; Issue report
Citation
2022 IEEE/ACM 4TH INTERNATIONAL WORKSHOP ON BOTS IN SOFTWARE ENGINEERING (BOTSE 2022), pp.28 - 32
Indexed
SCOPUS
Journal Title
2022 IEEE/ACM 4TH INTERNATIONAL WORKSHOP ON BOTS IN SOFTWARE ENGINEERING (BOTSE 2022)
Start Page
28
End Page
32
URI
https://scholarworks.bwise.kr/gnu/handle/sw.gnu/2831
DOI
10.1145/3528228.3528404
ISSN
0000-0000
Abstract
GitBots are bots in Git repositories to automate repetitive tasks that occur in software development, testing and maintenance. GitBots are expected to perform the repetitive tasks that are normally done by humans, such as feedback on issue reports and answers to questions. However, studies on GitBots for labeling issue reports fall short of replacing developers' labeling tasks. Developers still manually attach labels to issues. In this paper, we introduce an issue labeling bot classifying issue reports into custom labels that developers define by themselves so that our bot could attach labels in a similar way to human behavior.
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IT공과대학 (소프트웨어공학과)
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