An Evaluation of Multi-Label Classification Approaches for Method-Level Code Smells Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3387856
Abstract: (1) Background: Code smell is the most popular and reliable method for detecting potential errors in code. In real-world circumstances, a single source code may have multiple code smells. Multi-label code smell detection is a… read more here.
Keywords: multi label; code; code smells; method level ... See more keywords
Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2024.3449917
Abstract: Test-to-code traceability links (TCTLs) establish links between test artifacts and code artifacts. These links enable developers and testers to quickly identify the specific pieces of code tested by particular test cases, thus facilitating more efficient… read more here.
Keywords: test code; code; test; code traceability ... See more keywords
Predicting the number of defects in a new software version
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DOI: 10.1371/journal.pone.0229131
Abstract: Predicting the number of defects in software at the method level is important. However, little or no research has focused on method-level defect prediction. Therefore, considerable efforts are still required to demonstrate how method-level defect… read more here.
Keywords: number defects; method level; version; level ... See more keywords