2024
DOI: 10.3390/a17050175
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Cross-Project Defect Prediction Based on Domain Adaptation and LSTM Optimization

Khadija Javed,
Ren Shengbing,
Muhammad Asim
et al.

Abstract: Cross-project defect prediction (CPDP) aims to predict software defects in a target project domain by leveraging information from different source project domains, allowing testers to identify defective modules quickly. However, CPDP models often underperform due to different data distributions between source and target domains, class imbalances, and the presence of noisy and irrelevant instances in both source and target projects. Additionally, standard features often fail to capture sufficient semantic and c… Show more

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