The art, science, and engineering of fuzzing: A survey

VJM Manès, HS Han, C Han, SK Cha… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Among the many software testing techniques available today, fuzzing has remained highly
popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of …

Collafl: Path sensitive fuzzing

S Gan, C Zhang, X Qin, X Tu, K Li… - 2018 IEEE Symposium …, 2018 - ieeexplore.ieee.org
Coverage-guided fuzzing is a widely used and effective solution to find software
vulnerabilities. Tracking code coverage and utilizing it to guide fuzzing are crucial to …

A survey of learning-based automated program repair

Q Zhang, C Fang, Y Ma, W Sun, Z Chen - ACM Transactions on Software …, 2023 - dl.acm.org
Automated program repair (APR) aims to fix software bugs automatically and plays a crucial
role in software development and maintenance. With the recent advances in deep learning …

Deep semantic feature learning for software defect prediction

S Wang, T Liu, J Nam, L Tan - IEEE Transactions on Software …, 2018 - ieeexplore.ieee.org
Software defect prediction, which predicts defective code regions, can assist developers in
finding bugs and prioritizing their testing efforts. Traditional defect prediction features often …

Fuzzing: a survey

J Li, B Zhao, C Zhang - Cybersecurity, 2018 - Springer
Security vulnerability is one of the root causes of cyber-security threats. To discover
vulnerabilities and fix them in advance, researchers have proposed several techniques …

[PDF][PDF] Not All Coverage Measurements Are Equal: Fuzzing by Coverage Accounting for Input Prioritization.

Y Wang, X Jia, Y Liu, K Zeng, T Bao, D Wu, P Su - NDSS, 2020 - wcventure.github.io
Coverage-based fuzzing has been actively studied and widely adopted for finding
vulnerabilities in real-world software applications. With coverage information, such as …

Breaking through binaries: Compiler-quality instrumentation for better binary-only fuzzing

S Nagy, A Nguyen-Tuong, JD Hiser… - 30th USENIX Security …, 2021 - usenix.org
Coverage-guided fuzzing is one of the most effective software security testing techniques.
Fuzzing takes on one of two forms: compiler-based or binary-only, depending on the …

Exploring better black-box test case prioritization via log analysis

Z Chen, J Chen, W Wang, J Zhou, M Wang… - ACM Transactions on …, 2023 - dl.acm.org
Test case prioritization (TCP) has been widely studied in regression testing, which aims to
optimize the execution order of test cases so as to detect more faults earlier. TCP has been …

Trend application of machine learning in test case prioritization: A review on techniques

M Khatibsyarbini, MA Isa, DNA Jawawi… - IEEE …, 2021 - ieeexplore.ieee.org
Software quality can be assured by passing the process of software testing. However,
software testing process involve many phases which lead to more resources and time …

Incorporating fault-proneness estimations into coverage-based test case prioritization methods

M Mahdieh, SH Mirian-Hosseinabadi, K Etemadi… - Information and …, 2020 - Elsevier
Context: During the development process of a software program, regression testing is used
to ensure that the correct behavior of the software is retained after updates to the source …