10.11588/data/10089Merten, ThorstenThorstenMertenFaculty of Mathematics and Computer ScienceSource Code, Data and Additional Material for the Thesis: "Identification of Software Features in Issue Tracking System Data"heiDATA2017Computer and Information ScienceSoftware EngineeringData MiningSoftware RepositoriesSoftware FeaturesTraceabilityMerten, TorstenTorstenMertenFaculty of Mathematics and Computer ScienceMerten, TorstenTorstenMertenFaculty of Mathematics and Computer ScienceheiDATA: Heidelberg Research Data RepositoryUniversity of Heidelberg20172017-022016-10-242017-04-06Issue Tracking System Contents, Source Code and Experiment Results10.11588/heidok.000226551086110360424text/plain; charset=UTF-8application/zip2.2This dataset provides the code and the data sets used in the PHD thesis "Identification of Software Features in Issue Tracking System Data" as well as the files that represent the results measured in experiments. <br /> For problem studies (e.g. chapters 10 and 11) the folders include the raw data and the data annotations as well as the tools used to extract the data.<br /> For solution studies (e.g. chapters 14, 15, and 16) the folders include the raw data, tools used to extract the data, the gold standards, the code to process the data and finally the experiment results.<br /> This archive contains one folder per chaper and every folder again contains a README.md file describing its contents:<br /> <ul> <li>Chapter10: SOFTWARE FEATURES IN ISSUE TRACKING SYSTEMS – AN EMPIRICAL STUDY</li> <li>Chapter11: ISSUE TYPES AND INFORMATION TYPES – AN EMPIRICAL STUDY</li> <li>Chapter14: PREPROCESSING ISSUES – AN EMPIRICAL STUDY</li> <li>Chapter15: RECOVERING RELATED ISSUES IN ISSUE TRACKING SYSTEMS</li> <li>Chapter16: DETECTING SOFTWARE FEATURE REQUESTS IN ISSUES</li> </ul>Heidelberg, Germany