An analysis of correctness for API recommendation: are the unmatched results useless?
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DOI: 10.1007/s11432-019-2929-9
Abstract: API recommendation is a promising approach which is widely used during software development. However, the evaluation of API recommendation is not explored with sufficient rigor. The current evaluation of API recommendation mainly focuses on correctness,… read more here.
Keywords: recommendation; api recommendation; evaluation; correctness ... See more keywords
Web API Recommendation via Exploring Textual and Structural Semantics With Contrastive Learning and Joint Training
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DOI: 10.1109/tnsm.2024.3515103
Abstract: With the advancement of service computing technology, software developers tend to consume a variety of Web APIs (Application Programming Interfaces, also named Web services) from Web API markets to create feature-rich Mashup applications to save… read more here.
Keywords: semantics; api recommendation; textual structural; web api ... See more keywords
Integrating Functional and Structural Semantics for Web API Recommendation via Multi Meta-Path Aggregation
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DOI: 10.1109/tsc.2025.3599574
Abstract: With the increasing popularity of Internet services, developers can reuse or mix these services to create new applications (such as mashups) to improve development efficiency. In previous studies, several web API recommendation methods have been… read more here.
Keywords: semantics; information; api recommendation; structural semantics ... See more keywords
R2API: A Novel Method for Web API Recommendation by Using HGNNs With Multi-Task Learning
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DOI: 10.1109/tse.2025.3592214
Abstract: Mashup is an application that implements specific functions by integrating one or more web APIs, which are capable of providing services or data on the Internet, thus avoiding the behavior of repeatedly building wheels. With… read more here.
Keywords: api recommendation; multi task; web api; recommendation ... See more keywords