DPFuzz: A fuzz testing tool based on the guidance of defect prediction

Fuzz testing is an automated testing technique that is recognized for its efficiency and scalability. Despite its advantages, the growing complexity and scale of software has made testing software adequately increasingly challenging. If fuzz testing can prioritize resources for modules with higher defect proneness, it can effectively enhance its defect detection performance. In this paper, we introduce DPFuzz, a tool for prioritizing the resource allocation of fuzz testing. DPFuzz guides fuzz testing by calculating the fitness score, which is based on the coverage of modules with different defect proneness. DPFuzz also demonstrates the practicability of using defect prediction in software quality assurance and has confirmed its excellent defect detection performance through experiments.