DocumentCode :
1937139
Title :
Can Information Retrieval Techniques Effectively Support Traceability Link Recovery?
Author :
De Lucia, Andrea ; Fasano, Fausto ; Oliveto, Rocco ; Tortora, Genoveffa
Author_Institution :
Dept. of Math. & Informatics, Salerno Univ.
fYear :
0
fDate :
0-0 0
Firstpage :
307
Lastpage :
316
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
Keywords :
information retrieval; program diagnostics; project management; IR method; information retrieval techniques; software projects; traceability link recovery; Documentation; Feedback; Informatics; Information retrieval; Mathematics; Performance analysis; Programming profession; Software performance; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Program Comprehension, 2006. ICPC 2006. 14th IEEE International Conference on
Conference_Location :
Athens
ISSN :
1092-8138
Print_ISBN :
0-7695-2601-2
Type :
conf
DOI :
10.1109/ICPC.2006.15
Filename :
1631138
Link To Document :
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