Software Feature Request Detection in Issue Tracking Systems

@article{Merten2016SoftwareFR,
  title={Software Feature Request Detection in Issue Tracking Systems},
  author={Thorsten Merten and Matus Falis and Paul H{\"u}bner and Thomas Quirchmayr and Simone B{\"u}rsner and Barbara Paech},
  journal={2016 IEEE 24th International Requirements Engineering Conference (RE)},
  year={2016},
  pages={166-175}
}
Communication about requirements is often handled in issue tracking systems, especially in a distributed setting. As issue tracking systems also contain bug reports or programming tasks, the software feature requests of the users are often difficult to identify. This paper investigates natural language processing and machine learning features to detect software feature requests in natural language data of issue tracking systems. It compares traditional linguistic machine learning features, such… CONTINUE READING