Automatic Detection and Update Suggestion for Outdated API Names in Documentation
Citations

WEB OF SCIENCE

10
Citations

SCOPUS

14

초록

Application programming interfaces (APIs) continually evolve to meet ever-changing user needs, and documentation provides an authoritative reference for their usage. However, API documentation is commonly outdated because nearly all of the associated updates are performed manually. Such outdated documentation, especially with regard to API names, causes major software development issues. In this paper, we propose a method for automatically updating outdated API names in API documentation. Our insight is that API updates in documentation can be derived from API implementation changes between code revisions. To evaluate the proposed method, we applied it to four open source projects. Our evaluation results show that our method, FreshDoc, detects outdated API names in API documentation with 48 percent higher accuracy than the existing state-of-the-art methods do. Moreover, when we checked the updates suggested by FreshDoc against the developers' manual updates in the revised documentation, FreshDoc detected 82 percent of the outdated names. When we reported 40 outdated API names found by FreshDoc via issue tracking systems, developers accepted 75 percent of the suggestions. These evaluation results indicate that FreshDoc can be used as a practical method for the detection and updating of API names in the associated documentation.

키워드

DocumentationComputer bugsToolsHistoryLibrariesSoftware systemsApplication programming interfacesdocumentationhistorysoftware maintenance
제목
Automatic Detection and Update Suggestion for Outdated API Names in Documentation
저자
Lee, SeonahWu, RongxinCheung, Shing-ChiKang, Sungwon
DOI
10.1109/TSE.2019.2901459
발행일
2021-04
유형
Article
저널명
IEEE Transactions on Software Engineering
47
4
페이지
653 ~ 675