An Approach for Cross-Project Defect Prediction Using Composite Distribution Alignment and Domain-Adversarial Neural Networks

待确认 10 由塔塔发布于 2026/3/31 11:02:48

DOI:10.1109/TR.2026.3657526
作者：Dipender Singh;Sandeep Kumar
文献类型：期刊论文
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Institute of Electrical and Electronics Engineers (IEEE)

Abstract：Cross-project defect prediction (CPDP) is an important task in software engineering, where data from external projects is used to identify defect-prone modules in a target project that lacks

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