A Probabilistic Framework for Mutation Testing in Deep Neural Networks. (arXiv:2208.06018v1 [cs.SE])

Context: Mutation Testing (MT) is an important tool in traditional Software
Engineering (SE) white-box testing. It aims to artificially inject faults in a
system to evaluate a test suite's capability to detect them, assuming that the
test suite defects finding capability will then translate to real faults. If MT
has long been used in SE, it is only recently that it started gaining the
attention of the Deep Learning (DL) community, with researchers adapting it to
improve the testability of …

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