  Fuzzing has contributed to automatically identifying bugs and vulnerabilities
in the software testing field. Although it can efficiently generate crashing
inputs, these inputs are usually analyzed manually. Several root cause analysis
(RCA) techniques have been proposed to automatically analyze the root causes of
crashes to mitigate this cost. However, outstanding challenges for realizing
more elaborate RCA techniques remain unknown owing to the lack of extensive
evaluation methods over existing techniques. With this problem in mind, we
developed an end-to-end benchmarking platform, RCABench, that can evaluate RCA
techniques for various targeted programs in a detailed and comprehensive
manner. Our experiments with RCABench indicated that the evaluations in
previous studies were not enough to fully support their claims. Moreover, this
platform can be leveraged to evaluate emerging RCA techniques by comparing them
with existing techniques.
