This 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. 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. 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. This archive contains one folder per chaper and every folder again contains a README.md file describing its contents: Chapter10: SOFTWARE FEATURES IN ISSUE TRACKING SYSTEMS – AN EMPIRICAL STUDY Chapter11: ISSUE TYPES AND INFORMATION TYPES – AN EMPIRICAL STUDY Chapter14: PREPROCESSING ISSUES – AN EMPIRICAL STUDY Chapter15: RECOVERING RELATED ISSUES IN ISSUE TRACKING SYSTEMS Chapter16: DETECTING SOFTWARE FEATURE REQUESTS IN ISSUES