Can Information Retrieval Techniques Effectively Support Traceability Link Recovery?

Authors:
Andrea De Lucia;Fausto Fasano;Rocco Oliveto;Genoveffa Tortora
Affiliations:
University of Salerno, Italy;University of Salerno, Italy;University of Salerno, Italy;University of Salerno, Italy
Venue:
ICPC '06 Proceedings of the 14th IEEE International Conference on Program Comprehension
Year:
2006

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Abstract

Applying Information Retrieval (IR) techniques to retrieve all correct links between software artefacts is in general impractical, as usually this means producing a high effort for discarding too many false positives. We show that the only way to recover traceability links using IR methods is to identify an "optimal" threshold that achieves an acceptable balance between traced links and false positives. Unfortunately, such threshold is not known a priori. For this reason we have devised the need to use an incremental traceability recovery approach to gradually identify the threshold where it is more convenient to stop the traceability recovery process, and provide evidence of this in a case study. We also report the experience of using the incremental traceability recovery during the development of software projects.