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“Synthesizing input grammars”: a replication study
PLDI 2022: Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and ImplementationPages 260–268https://doi.org/10.1145/3519939.3523716When producing test inputs for a program, test generators ("fuzzers") can greatly profit from grammars that formally describe the language of expected inputs. In recent years, researchers thus have studied means to recover input grammars from programs ...
- research-articleJune 2022
Odin: on-demand instrumentation with on-the-fly recompilation
PLDI 2022: Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and ImplementationPages 1010–1024https://doi.org/10.1145/3519939.3523428Instrumentation is vital to fuzzing. It provides fuzzing directions and helps detect covert bugs, yet its overhead greatly reduces the fuzzing throughput. To reduce the overhead, compilers compromise instrumentation correctness for better optimization, ...