@inproceedings{9176b974bd6f4dfd854d821177ee491b,
title = "Taming compiler fuzzers",
abstract = "Aggressive random testing tools ({"}fuzzers{"}) are impressively effective at finding compiler bugs. For example, a single test-case generator has resulted in more than 1,700 bugs reported for a single JavaScript engine. However, fuzzers can be frustrating to use: they indiscriminately and repeatedly find bugs that may not be severe enough to fix right away. Currently, users filter out undesirable test cases using ad hoc methods such as disallowing problematic features in tests and grepping test results. This paper formulates and addresses the fuzzer taming problem: given a potentially large number of random test cases that trigger failures, order them such that diverse, interesting test cases are highly ranked. Our evaluation shows our ability to solve the fuzzer taming problem for 3,799 test cases triggering 46 bugs in a C compiler and 2,603 test cases triggering 28 bugs in a JavaScript engine.",
keywords = "Automated testing, Bug reporting, Compiler defect, Compiler testing, Fuzz testing, Random testing, Test-case reduction",
author = "Yang Chen and Alex Groce and Chaoqiang Zhang and Wong, {Weng Keen} and Xiaoli Fern and Eric Eide and John Regehr",
year = "2013",
doi = "10.1145/2462156.2462173",
language = "English (US)",
isbn = "9781450320146",
series = "Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)",
pages = "197--207",
booktitle = "PLDI 2013 - Proceedings of the 2013 ACM SIGPLAN Conference on Programming Language Design and Implementation",
note = "34th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2013 ; Conference date: 16-06-2013 Through 19-06-2013",
}