Automatically learning semantic features for defect prediction

作者：Song Wang, Taiyue Liu, Lin Tan · 年份：2016 · DOI：10.1145/2884781.2884804 · 被引用次数：702 · 研究领域：Software Engineering Research、Software Reliability and Analysis Research、Advanced Malware Detection Techniques

Software defect prediction, which predicts defective code regions, can help developers find bugs and prioritize their testing efforts. To build accurate prediction models, previous studies focus on manually designing features that encode the characteristics of programs and exploring different machine learning algorithms. Existing traditional features often fail to capture the semantic differences of programs, and such a capability is needed for building accurate prediction models.