Abstract
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.
Original language | English |
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Title of host publication | Proceedings - 11th IEEE International Requirements Engineering Conference, RE 2003 |
Pages | 138-147 |
Number of pages | 10 |
ISBN (Electronic) | 0769519806 |
DOIs | |
State | Published - 2003 |
Event | 11th IEEE International Requirements Engineering Conference, RE 2003 - Monterey Bay, United States Duration: Sep 8 2003 → Sep 12 2003 |
Publication series
Name | Proceedings of the IEEE International Conference on Requirements Engineering |
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Volume | 2003-January |
ISSN (Print) | 1090-705X |
Conference
Conference | 11th IEEE International Requirements Engineering Conference, RE 2003 |
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Country/Territory | United States |
City | Monterey Bay |
Period | 9/8/03 → 9/12/03 |
Bibliographical note
Publisher Copyright:© 2003 IEEE.
Keywords
- Algorithm design and analysis
- Capability maturity model
- Computer aided software engineering
- Computer science
- Horses
- Information retrieval
- Performance analysis
- Signal analysis
- Software tools
- Sparks
ASJC Scopus subject areas
- General Computer Science
- General Engineering
- Strategy and Management