Using interaction data for continuous creation of trace links between source code and requirements in issue tracking systems
Context and Motivation: Information retrieval (IR) trace link creation approaches have insufficient precision and do not perform well on unstructured data which is typical in issue tracker systems (ITS). Question/problem: We are interested in understanding how interaction tracking on artifacts can h...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Chapter/Article Conference Paper |
| Language: | English |
| Published: |
21 February 2017
|
| In: |
Requirements engineering: Foundation for Software Quality
Year: 2017, Pages: 291-307 |
| DOI: | 10.1007/978-3-319-54045-0_21 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1007/978-3-319-54045-0_21 Verlag, Volltext: https://link.springer.com/chapter/10.1007/978-3-319-54045-0_21 
|
| Author Notes: | Paul Hübner, Barbara Paech |
| Summary: | Context and Motivation: Information retrieval (IR) trace link creation approaches have insufficient precision and do not perform well on unstructured data which is typical in issue tracker systems (ITS). Question/problem: We are interested in understanding how interaction tracking on artifacts can help to improve precision and recall of trace links between requirements specified unstructured in an ITS and source code. Principal ideas/results: We performed a study with open source project data in which artifact interactions while working on requirements specified in an ITS have been recorded. Contribution: The results of our study show that precision of interaction-based links is 100% and recall is 93% for the first and 80% for the second evaluated data set relative to IR-created links. Along with the study we developed an approach based on standard tools to automatically create trace links using interactions which also takes into account source code structure. The approach and the study show that trace links creation in practice can be supported with little extra effort for the developers. |
|---|---|
| Item Description: | Gesehen am 24.07.2018 |
| Physical Description: | Online Resource |
| ISBN: | 9783319540450 |
| DOI: | 10.1007/978-3-319-54045-0_21 |