Abstract
Software trace ability is the ability to describe and follow the life of a requirement in both a forward and backward direction by defining relationships to related development artifacts. A plethora of different trace ability recovery approaches use information retrieval techniques, which depend on the quality of the textual information in requirements and software artifacts. Not only is it important that stakeholders use meaningful names in these artifacts, but also it is crucial that the same names are used to specify the same concepts in different artifacts. Unfortunately, the latter is difficult to enforce and as a result, software trace ability approaches are not as efficient and effective as they could be - to the point where it is questionable whether the anticipated economic and quality benefits were indeed achieved. We propose a novel and automatic approach for expanding corpora with relevant documentation that is obtained using external function call documentation and sets of relevant words, which we implemented in Trace Lab. We experimented with three Java applications and we show that using our approach the precision of recovering trace ability links was increased by up to 31% in the best case and by approximately 9% on average.
Original language | English |
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Pages | 320-329 |
Number of pages | 10 |
DOIs | |
State | Published - 2013 |
Event | 29th IEEE International Conference on Software Maintenance, ICSM 2013 - Eindhoven, Netherlands Duration: 22 Sep 2013 → 28 Sep 2013 |
Conference
Conference | 29th IEEE International Conference on Software Maintenance, ICSM 2013 |
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Country/Territory | Netherlands |
City | Eindhoven |
Period | 22/09/13 → 28/09/13 |
Keywords
- API call
- Machine learning
- Software traceability