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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Vydáno v:	2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) s. 331 - 333
Hlavní autor:	Laybourn, Isabella
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.05.2022
Témata:	Codes Computer bugs Fuzzing Java Software Software and its engineering → Software testing and debugging Software engineering
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Shrnutí:	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