DocumentCode
1862250
Title
Using Semantics-Enabled Information Retrieval in Requirements Tracing: An Ongoing Experimental Investigation
Author
Mahmoud, Anas ; Niu, Nan
Author_Institution
Dept. of Comput. Sci. & Eng., Mississippi State Univ., Starkville, FL, USA
fYear
2010
fDate
19-23 July 2010
Firstpage
246
Lastpage
247
Abstract
Requirements tracing is a central activity for software systems quality management. However, in large-scale evolving systems, maintaining traceability information manually can become a tedious task. To address this problem, several dynamic techniques were introduced to provide automatic traceability links generation. These techniques are usually based on information retrieval (IR) methods which link different artifacts based on their syntactic information. This paper reports an ongoing experimental investigation of using semantics-enabled IR methods to generate traceability links. Our goal is to explore dynamic, accurate, and conceptually rich ways to generate and maintain traceability information.
Keywords
information retrieval; software maintenance; software quality; automatic traceability links generation; requirements tracing; semantics-enabled information retrieval; software systems quality management; Computational modeling; Information retrieval; Instruments; Semantic Web; Semantics; Software; Syntactics; Requirements tracing; dynamic link generation; information reterival; semantic search;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference (COMPSAC), 2010 IEEE 34th Annual
Conference_Location
Seoul
ISSN
0730-3157
Print_ISBN
978-1-4244-7512-4
Electronic_ISBN
0730-3157
Type
conf
DOI
10.1109/COMPSAC.2010.29
Filename
5676264
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