DocumentCode
2747705
Title
Ontology-Based Similarity Measurement in Software Projects through SimReq Framework
Author
Ilyas, Muhammad ; Küng, Josef
Author_Institution
Inst. for Applic. Oriented Knowledge Process. (FAW), Univ. of Linz, Linz, Austria
fYear
2010
fDate
22-27 Aug. 2010
Firstpage
412
Lastpage
416
Abstract
The study of similarity measurement has long been a fundamental part of natural language processing. Similarity measurement usage is increasing day by day in Information Extraction. Moreover, determining similarity measurement between two or more sets of information is facing problem in web mining. Traditional information retrieval approaches may not always find out the right match of exact concepts. Previously, we have presented SimReq, a Similarity Measurement Framework for requirements engineering. In this paper, we have presented a new idea by using SimReq framework with the help of ontology to find out similarity measurements in different software projects based on different software attributes like Functional Size, Data Quality Rating, and Work Effort etc.
Keywords
formal specification; ontologies (artificial intelligence); software development management; SimReq framework; Web mining; data quality rating; functional size; information extraction; information retrieval; natural language processing; ontology-based similarity measurement; requirements engineering; similarity measurement framework; software projects; work effort; Computational modeling; Data mining; Databases; Ontologies; Psychology; Software; Software measurement; Measurement; Ontology; SimReq; Similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering Advances (ICSEA), 2010 Fifth International Conference on
Conference_Location
Nice
Print_ISBN
978-1-4244-7788-3
Electronic_ISBN
978-0-7695-4144-0
Type
conf
DOI
10.1109/ICSEA.2010.70
Filename
5615073
Link To Document