Compiler Fuzzing: How Much Does It Matter?
Despite much recent interest in randomised testing (fuzzing) of compilers, the practical impact of fuzzer-found compiler bugs on real-world applications has barely been assessed. We present the first quantitative and qualitative study of the tangible impact of miscompilation bugs in a mature compiler. We follow a rigorous methodology where the bug impact over the compiled application is evaluated based on (1) whether the bug appears to trigger during compilation; (2) the extent to which generated assembly code changes syntactically due to triggering of the bug; and (3) whether such changes cause regression test suite failures, or whether we can manually find application inputs that trigger execution divergence due to such changes. The study is conducted with respect to the compilation of more than 10 million lines of C/C++ code from 309 Debian packages, using 12% of the historical and now fixed miscompilation bugs found by four state-of-the-art fuzzers in the Clang/LLVM compiler, as well as 18 bugs found by human users compiling real code or as a by-product of formal verification efforts. The results show that almost half of the fuzzer-found bugs propagate to the generated binaries for at least one package, in which case only a very small part of the binary is typically affected, yet causing two failures when running the test suites of all the impacted packages. User-reported and formal verification bugs do not exhibit a higher impact, with a lower rate of triggered bugs and one test failure. The manual analysis of a selection of the syntactic changes caused by some of our bugs (fuzzer-found and non fuzzer-found) in package assembly code, shows that either these changes have no semantic impact or that they would require very specific runtime circumstances to trigger execution divergence.
Michaël Marcozzi is a Research Associate in the Department of Computing at Imperial College London, working over compiler testing. His research interests include software testing, fomal methods, compilers, symbolic execution, data-intensive software and search metaheuristics. Prior to joining Imperial, he has worked for three years as a postdoc and ERCIM fellow at the CEA and Inria institutes in Paris, focusing on the Frama-C/LTest framework for automated testing powered by formal methods. He earned his PhD from the University of Namur (Belgium) in 2014, funded by an F.R.S.-FNRS fellowship, where he developed a symbolic execution for testing programs interacting with a SQL database.