Cited By
View all- Wang STian YHe D(2023)Reduce API Debugging Overhead via Knowledge PrepositioningCompanion Proceedings of the ACM Web Conference 202310.1145/3543873.3587311(57-60)Online publication date: 30-Apr-2023
Bridging the divide between API users and API developers by mining public code repositories
Pages 178 - 181
Abstract
Software application programming interfaces (APIs) are a ubiquitous part of Software Engineering. The evolution of these APIs requires constant effort from their developers and users alike. API developers must constantly balance keeping their products modern whilst keeping them as stable as possible. Meanwhile, API users must continually be on the lookout to adapt to changes that could break their applications. As APIs become more numerous, users are challenged by a myriad of choices and information on which API to use. Current research attempts to provide automatic documentation, code examples, and code completion to make API evolution more scalable for users. Our work will attempt to establish practical and scalable API evolution guidelines and tools based on public code repositories, to aid both API users and API developers.
This thesis focuses on investigating the use of public code repositories provided by the open-source community to improve software API engineering practices. More specifically, I seek to improve software engineering practices linked to API evolution, both from the perspective of API users and API developers. To achieve this goal, I will apply quantitative and qualitative research methods to understand the problems at hand. I will then mine public code repositories to develop novel solutions to these problems.
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Index Terms
- Bridging the divide between API users and API developers by mining public code repositories
Index terms have been assigned to the content through auto-classification.
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Published: 01 October 2020
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ICSE '20: 42nd International Conference on Software Engineering
June 27 - July 19, 2020
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View all- Wang STian YHe D(2023)Reduce API Debugging Overhead via Knowledge PrepositioningCompanion Proceedings of the ACM Web Conference 202310.1145/3543873.3587311(57-60)Online publication date: 30-Apr-2023
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