Dataset Package for the paper "Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments"

<p><br> #Dataset Package for the paper &quot;Automated Test Cases Prioritization for Self-driving Cars in Virtual Environments&quot;</p> <p><br> Description of the content:</p> <p><br> 1) &quot;1_datasets&quot; folder contains all the datasets concerning the test scenarios considered in the study.&nbsp;<br> &nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- AsFault supports two SDC software as test subjects while generating test cases, which we use to generate our test suites.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- BeamNG.AI.&nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- DeepDriving<br> &nbsp;&nbsp; &nbsp;- STRUCTURE: We report test subjects considered and organized with sub-folders for each of the supported two SDC software (i.e., Driving AIs):<br> &nbsp;&nbsp; &nbsp; &nbsp; &nbsp;- fullroad<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp;- BeamNG_AI<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp;- Driver_AI<br> 2) &quot;2_SDC-source-code&quot; contains all code and scripts composing the MATLAB/R prototypical implementation of SDC-pririotizer:&nbsp;</p> <p>&nbsp;&nbsp; &nbsp;- STRUCTURE:<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- runSearch.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- runGreedy.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- plotResults.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- permutationMutation.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- mainGreedy.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- permutationCrossover.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- main.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- initialPopulation.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- fitness.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- featureSelection.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- faultDetectionRatePlots.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- faultDetection.m<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- (folder) r-script<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- (folder) python<br> &nbsp; &nbsp;&nbsp;<br> 3) &quot;3_study-data&quot; folder contains all the main experimental data concerning the study conducted, RQs and all generated figures and main row-data reported in section results<br> &nbsp; &nbsp;&nbsp;<br> &nbsp; &nbsp; &nbsp; &nbsp; - results.csv<br> &nbsp; &nbsp; &nbsp; &nbsp; - greedy_results.csv<br> &nbsp; &nbsp; &nbsp; &nbsp; - (folder) tables<br> &nbsp; &nbsp; &nbsp; &nbsp; - (folder) figures<br> &nbsp; &nbsp; &nbsp; &nbsp; - (folder) DriverAI<br> &nbsp; &nbsp; &nbsp; &nbsp; - (folder) BeamNG_RF_1_5<br> &nbsp; &nbsp; &nbsp; &nbsp; - (folder) BeamNG_RF_1&nbsp;</p>