Datasets for "Learning Realistic Mutations: Bug Creation for Neural Bug Detectors"

<p>This artifact includes the datasets used for&nbsp;Learning Realistic Mutations: Bug Creation for Neural Bug Detectors.</p> <p>Included are preprocessed Java datasets. Using CodeSearchNet as a starting point, the datasets are seeded with bugs of a specific bug type. We distinguish Binary operator bugs, VarMisuse bugs and Function misuses. For each bug type, we employed three level of mutator: weak, strong and contextual.</p> <p>In addition, we also include validation sets, which are used during experiments to validate the bug detection models, but do not relate to experiment results reported in the study.</p> <p>For each bug type, we also included the real world benchmark as test sets.</p> <p>For Python and JavaScript, we include the datasets preprocessed by the contextual mutator.</p>