A Clustering Based Functional Similarity Measurement Approach

Date

2010-09-03

Author

Usgurlu, Burak
Ozcan, Ozden
Ungan, Erdir
Demirörs, Onur

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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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Exploration of an Error Prevention Model for COSMIC Functional Size Measurement Method Salmanoğlu, Murat; Demirörs, Onur (2012-10-19) The reliability of Functional size is crucial for effort and cost estimation in software development projects. However, estimation results may differ because of the errors made in the measurement process. This research proposes an error prevention model for COSMIC Functional Size Measurement method to increase the reliability of the measurements. The model has two main suggestions; first, to use the types of the functional processes during the measurement to prevent errors, and the second, to use a cardinal...
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Citation Formats

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.