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Erschienen in: Empirical Software Engineering 6/2014

01.12.2014

Recovering from a decade: a systematic mapping of information retrieval approaches to software traceability

verfasst von: Markus Borg, Per Runeson, Anders Ardö

Erschienen in: Empirical Software Engineering | Ausgabe 6/2014

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Abstract

Engineers in large-scale software development have to manage large amounts of information, spread across many artifacts. Several researchers have proposed expressing retrieval of trace links among artifacts, i.e. trace recovery, as an Information Retrieval (IR) problem. The objective of this study is to produce a map of work on IR-based trace recovery, with a particular focus on previous evaluations and strength of evidence. We conducted a systematic mapping of IR-based trace recovery. Of the 79 publications classified, a majority applied algebraic IR models. While a set of studies on students indicate that IR-based trace recovery tools support certain work tasks, most previous studies do not go beyond reporting precision and recall of candidate trace links from evaluations using datasets containing less than 500 artifacts. Our review identified a need of industrial case studies. Furthermore, we conclude that the overall quality of reporting should be improved regarding both context and tool details, measures reported, and use of IR terminology. Finally, based on our empirical findings, we present suggestions on how to advance research on IR-based trace recovery.

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Fußnoten
1
We use an asterisk (‘*’) to distinguish primary publications in the systematic mapping from general references.
 
4
The gold standard was not considered the end goal of our study, but was the target during the iterative development of the search string described next.
 
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Metadaten
Titel
Recovering from a decade: a systematic mapping of information retrieval approaches to software traceability
verfasst von
Markus Borg
Per Runeson
Anders Ardö
Publikationsdatum
01.12.2014
Verlag
Springer US
Erschienen in
Empirical Software Engineering / Ausgabe 6/2014
Print ISSN: 1382-3256
Elektronische ISSN: 1573-7616
DOI
https://doi.org/10.1007/s10664-013-9255-y

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