Vulnerability Mimicking Mutants. (arXiv:2303.04247v1 [cs.SE])

With the increasing release of powerful language models trained on large code
corpus (e.g. CodeBERT was trained on 6.4 million programs), a new family of
mutation testing tools has arisen with the promise to generate more "natural"
mutants in the sense that the mutated code aims at following the implicit rules
and coding conventions typically produced by programmers. In this paper, we
study to what extent the mutants produced by language models can semantically
mimic the observable behavior of security-related …

code coding family language language models large release rules study testing testing tools tools vulnerability