This repository complements the paper Search-based Trace Diagnostic. The content of this repository is divided as follows:
experiments_results: Results of the experiments presented on the paper. Includes the output files, decision tree models and a png picture of the tool result. Experiments are separated by folder.results_analysis: Python scripts used to measure precision and recall for each experiment. Scripts for plotting the boxplot also included.tool: Tool implementation as used in the paper. The inside readme shows how to run each experiment. Also, it includes the HLS specification for each requirement shown in the paper.Appendix.pdf: Paper Appendix with the result comparison between Tool and Prediction. Also available in here.