Software cost estimation using class point metrics (CPM)

Aditi Ghode; Kasilingam Periyasamy

doi:10.1117/12.920300

13 January 2012 Software cost estimation using class point metrics (CPM)

Aditi Ghode, Kasilingam Periyasamy

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 83502T (2012) https://doi.org/10.1117/12.920300
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

Estimating cost for the software project is one of the most important and crucial task to maintain the software reliability. Many cost estimation models have been reported till now, but most of them have significant drawbacks due to rapid changes in the technology. For example, Source Line Of Code (SLOC) can only be counted when the software construction is complete. Function Point (FP) metric is deficient in handling Object Oriented Technology, as it was designed for procedural languages such as COBOL. Since Object-Oriented Programming became a popular development practice, most of the software companies started applying the Unified Modeling Language (UML). The objective of this research is to develop a new cost estimation model with the application of class diagram for the software cost estimation.

Citation Download Citation

Aditi Ghode and Kasilingam Periyasamy "Software cost estimation using class point metrics (CPM)", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83502T (13 January 2012); https://doi.org/10.1117/12.920300

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