Code Librarian: A Software Package Recommendation System
October 11, 2022 Β· Declared Dead Β· π 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
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Authors
Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean Moran
arXiv ID
2210.05406
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
3
Venue
2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
Last Checked
4 months ago
Abstract
The use of packaged libraries can significantly shorten the software development cycle by improving the quality and readability of code. In this paper, we present a recommendation engine called Librarian for open source libraries. A candidate library package is recommended for a given context if: 1) it has been frequently used with the imported libraries in the program; 2) it has similar functionality to the imported libraries in the program; 3) it has similar functionality to the developer's implementation, and 4) it can be used efficiently in the context of the provided code. We apply the state-of-the-art CodeBERT-based model for analysing the context of the source code to deliver relevant library recommendations to users.
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