Title :
A Clustering Based Functional Similarity Measurement Approach
Author :
Usgurlu, Burak ; Top, Özden Özcan ; Ungan, Erdir ; Demirörs, Onur
Author_Institution :
Inf. Inst., Middle East Tech. Univ., Ankara, Turkey
Abstract :
Effort prediction remains to be one of the greatest challenges of software management. While advances in functional size measurement enable functional size to be successfully utilized for effort prediction there are various factors that create significant variances. One of these factors is functional similarity. In this study, we developed, automated and validated an approach to determine similarities among functional processes for COSMIC functional size measurement methodology. The paper includes the explanation of this new approach and the results of the case study that has been performed to validate the approach.
Keywords :
pattern clustering; software management; software process improvement; COSMIC functional size measurement; clustering based functional similarity measurement; effort prediction; functional process; software management; IEC standards; ISO standards; Productivity; Size measurement; Software; Software engineering; Software measurement; Effort Estimation; Functional Similarity; Functional Size Measurement; Semantic Interpretation;
Conference_Titel :
Software Engineering and Advanced Applications (SEAA), 2010 36th EUROMICRO Conference on
Conference_Location :
Lille
Print_ISBN :
978-1-4244-7901-6
DOI :
10.1109/SEAA.2010.51