Title :
Improving information retrieval-based concept location using contextual relationships
Author :
Dilshener, Tezcan
Author_Institution :
Dept. of Comput., Open Univ., Milton Keynes, UK
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;
Conference_Titel :
Software Engineering (ICSE), 2012 34th International Conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-1066-6
Electronic_ISBN :
0270-5257
DOI :
10.1109/ICSE.2012.6227052