DocumentCode
2440237
Title
Improving information retrieval-based concept location using contextual relationships
Author
Dilshener, Tezcan
Author_Institution
Dept. of Comput., Open Univ., Milton Keynes, UK
fYear
2012
fDate
2-9 June 2012
Firstpage
1499
Lastpage
1502
Abstract
For software engineers to find all the relevant program elements implementing a business concept, existing techniques based on information retrieval (IR) fall short in providing adequate solutions. Such techniques usually only consider the conceptual relations based on lexical similarities during concept mapping. However, it is also fundamental to consider the contextual relationships existing within an application´s business domain to aid in concept location. As an example, this paper proposes to use domain specific ontological relations during concept mapping and location activities when implementing business requirements.
Keywords
business data processing; information retrieval; ontologies (artificial intelligence); IR; business concept; business requirements; concept mapping; contextual relationships; domain specific ontological relations; information retrieval-based concept location; lexical similarities; location activities; program elements; software engineers; Business; Context; Correlation; Information retrieval; Ontologies; Semantics; Software; concept location; concept mapping; contextual relations; domain specific ontologies;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2012 34th International Conference on
Conference_Location
Zurich
ISSN
0270-5257
Print_ISBN
978-1-4673-1066-6
Electronic_ISBN
0270-5257
Type
conf
DOI
10.1109/ICSE.2012.6227052
Filename
6227052
Link To Document