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A Clustering Based Functional Similarity Measurement Approach
Date
2010-09-03
Author
Usgurlu, Burak
Ozcan, Ozden
Ungan, Erdir
Demirörs, Onur
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Functional similarity
,
Semantic interpretation
,
Effort estimation
,
Functional size measurement
URI
https://hdl.handle.net/11511/57988
DOI
https://doi.org/10.1109/seaa.2010.51
Conference Name
36th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA2010)
Collections
Graduate School of Informatics, Conference / Seminar
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B. Usgurlu, O. Ozcan, E. Ungan, and O. Demirörs, “A Clustering Based Functional Similarity Measurement Approach,” presented at the 36th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA2010), Univ Lille Nord France, Polytechn Grad Engn Sch, Lille, FRANCE, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57988.
