Improving effort-aware just-in-time defect prediction with weighted code churn and multi-objective slime mold algorithm

Effort-aware just-in-time software defect prediction (JIT-SDP) aims to effectively utilize the limited resources of software quality assurance (SQA) to detect more software defects. This improves the efficiency of SQA work and the quality of the software. However, there is disagreement regarding the...

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Hlavní autoři:	Hongming Dai, Jianqing Xi, Hong-Liang Dai
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2024-09-01
Edice:	Heliyon
Témata:	Weighted code churn Multi-objective slime mold algorithm Just-in-time defect prediction Effort aware Software quality assurance
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2405844024133919
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