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Source Code, Data and Additional Material for the Thesis: "Identification of Software Features in Issue Tracking System Data"

Version
1.0
Resource Type
Dataset
Creator
  • Merten, Thorsten (University of Heidelberg - Faculty of Mathematics and Computer Science)
Publication Date
2017-02-13
Language
English
Free Keywords
Software Engineering; Data Mining; Software Repositories; Software Features; Traceability
Description
  • Abstract

    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 STUDYChapter11: ISSUE TYPES AND INFORMATION TYPES – AN EMPIRICAL STUDYChapter14: PREPROCESSING ISSUES – AN EMPIRICAL STUDYChapter15: RECOVERING RELATED ISSUES IN ISSUE TRACKING SYSTEMSChapter16: DETECTING SOFTWARE FEATURE REQUESTS IN ISSUES
Availability
Download
Rights
Software and source code are licensed under General Public License v3 (GPL v3). Data and experimental results are licensed under Creative Commons Attribution 4.0 International Lizenz (CC BY 4.0).

Update Metadata: 2018-11-15 | Issue Number: 2 | Registration Date: 2017-02-13

Merten, Thorsten (2017): Source Code, Data and Additional Material for the Thesis: "Identification of Software Features in Issue Tracking System Data". Version: 1.0. University Library Heidelberg. Dataset. https://doi.org/10.11588/data/10089