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
Link To Document :
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