Abstract
Tracking a variety of traceability links between artifacts assists software developers in comprehension, efficient development, and effective management of a system. Traceability systems to date based on various Information Retrieval (IR) techniques have been faced with a major open research challenge: how to extract these links with both high precision and high recall. In this paper we describe an experimental approach that combines Regular Expression, Key Phrases, and Clustering with IR techniques to enhance the performance of IR for traceability link recovery between documents and source code. Our preliminary experimental results show that our combination technique improves the performance of IR, increases the precision of retrieved links, and recovers more true links than IR alone.
Original language | English |
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Title of host publication | ICSE 2011 - 33rd International Conference on Software Engineering, Proceedings of the Conference |
Pages | 912-915 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Event | International Conference on Software Engineering 2011 - The Hilton Hawaiian Village Beach Resort and Spa, Waikiki, Honolulu, United States of America Duration: 21 May 2011 → 28 May 2011 Conference number: 33rd http://2011.icse-conferences.org/ |
Conference
Conference | International Conference on Software Engineering 2011 |
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Abbreviated title | ICSE 2011 |
Country | United States of America |
City | Waikiki, Honolulu |
Period | 21/05/11 → 28/05/11 |
Internet address |
Keywords
- clustering
- key phrases
- regular expression
- traceability