Search Results - "Qing, Mingshuang"
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An unsupervised feature selection approach for actionable warning identification
Published in Expert systems with applications (01-10-2023)“…Static Analysis Tools (SATs) are widely applied to detect defects in software projects. However, SATs are overshadowed by a large number of unactionable…”
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Journal Article -
2
Locality-based security bug report identification via active learning
Published in Information and software technology (01-07-2022)“…Security bug report (SBR) identification is a crucial way to eliminate security-critical vulnerabilities during software development. In recent years, many…”
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Journal Article -
3
Metamorphic Testing for Traffic Light Recognition in Autonomous Driving Systems
Published in 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (01-12-2021)“…Traffic light recognition is significant for environ-ment perception and behavior planning in autonomous driving systems. Erroneous traffic light recognition…”
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Conference Proceeding -
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An Empirical Study on Spectral Clustering-based Software Defect Detection
Published in 2021 8th International Conference on Dependable Systems and Their Applications (DSA) (01-08-2021)“…Software defect detection is essential in software development. Most existing approaches often apply Supervised Machine Learning (SML) techniques for software…”
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Conference Proceeding -
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A machine learning-based static analysis warning prioritization
Published in 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (01-12-2021)“…Static analysis tools (SATs) can automatically detect software defects by analyzing the software source code. However, there are a large number of false…”
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Conference Proceeding