μ2: Using Mutation Analysis to Guide Mutation-Based Fuzzing

Coverage-guided fuzzing is a popular tool for finding bugs. This paper introduces μ 2 , a strategy for extending coverage-guided fuzzing with mutation analysis, which previous work has found to be better correlated with test effectiveness than code coverage. μ 2 was implemented in Java using the JQF...

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Bibliographic Details
Published in:2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) pp. 331 - 333
Main Author: Laybourn, Isabella
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2022
Subjects:
Codes
Computer bugs
Fuzzing
Java
Software
Software and its engineering → Software testing and debugging
Software engineering
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Summary:Coverage-guided fuzzing is a popular tool for finding bugs. This paper introduces μ 2 , a strategy for extending coverage-guided fuzzing with mutation analysis, which previous work has found to be better correlated with test effectiveness than code coverage. μ 2 was implemented in Java using the JQF framework and the default mutations used by PIT. Initial evaluation shows increased performance when using μ 2 as compared to coverage-guided fuzzing.
DOI:10.1145/3510454.3522682