Improving requirements tracing via information retrieval

We present an approach for improving requirements tracing based on framing it as an information retrieval (IR) problem. Specifically, we focus on improving recall and precision in order to reduce the number of missed traceability links as well as to reduce the number of irrelevant potential links th...

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Bibliographic Details
Main Authors: Hayes, J.H., Dekhtyar, A., Osborne, J.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Capability maturity model
Computer aided software engineering
Computer science
Horses
Information retrieval
Performance analysis
Signal analysis
Software tools
Sparks
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Summary:We present an approach for improving requirements tracing based on framing it as an information retrieval (IR) problem. Specifically, we focus on improving recall and precision in order to reduce the number of missed traceability links as well as to reduce the number of irrelevant potential links that an analyst has to examine when performing requirements tracing. Several IR algorithms were adapted and implemented to address this problem. We evaluated our algorithms by comparing their results and performance to those of a senior analyst who traced manually as well as with an existing requirements tracing tool. Initial results suggest that we can retrieve a significantly higher percentage of the links than analysts, even when using existing tools, and do so in much less time while achieving comparable signal-to-noise levels.
ISSN:1090-705X
2332-6441
DOI:10.1109/ICRE.2003.1232745