Code and experiment data of "Using Active Learning to Train Predictive Mutation Testing with Minimal Data", to appear at ASE2025

The repository contains the python files used to perform the experiments and analyze the resulting data. The experiment data is also present zipped, in a file-per-project .json format. Note that the files in the /multirun folder have slightly different keys: accuracy scores are not logged, but the order of indices queried is. The older base experiment files log accuracies in the json but not the queried order. The individual files' numbering corresponds to alphabetic ordering of the .arff files in the Predictive Mutation Testing repository, which is available at https://github.com/sei-pku/PredictiveMutationTesting .