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2013 IEEE International Conference on Software Maintenance (2006)
Philadelphia, Pennsylvania
Sept. 24, 2006 to Sept. 27, 2006
ISSN: 1063-6773
ISBN: 0-7695-2354-4
pp: 299-309
Rocco Oliveto , University of Salerno
Andrea De Lucia , University of Salerno
Paola Sgueglia , University of Salerno
Several authors apply Information Retrieval (IR) techniques to recover traceability links between software artefacts. Recently, the use of user feedbacks (in terms of classification of retrieval links as correct or false positives) has been proposed to improve the retrieval performances of these techniques. In this paper we present a critical analysis of using feedbacks within an incremental traceability recovery process. In particular, we analyse the trade-off between the improvement of the performances and the link classification effort required to train the IR-based traceability recovery tool. We also present the results achieved in case studies and show that even though the retrieval performances generally improve with the use of feedbacks, IR-based approaches are still far from solving the problem of recovering all correct links with a low classification effort.
Rocco Oliveto, Andrea De Lucia, Paola Sgueglia, "Incremental Approach and User Feedbacks: a Silver Bullet for Traceability Recovery", 2013 IEEE International Conference on Software Maintenance, vol. 00, no. , pp. 299-309, 2006, doi:10.1109/ICSM.2006.32
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