Call For Paper Volume:7 Issue:5 May'2020 |

Software Cost Estimation Using Clustering and Ranking Scheme

Publication Date : 31/01/2015

Author(s) :

Ms. S. Buvana , Dr. M. Latha , Mr. R. Subramanian.

Volume/Issue :
Volume 2
Issue 1
(01 - 2015)

Abstract :

Software cost estimation is an important task in the software design and development process. Planning and budgeting tasks are carried out with reference to the software cost values. A variety of software properties are used in the cost estimation process. Hardware, products, technology and methodology factors are used in the cost estimation process. The software cost estimation quality is measured with reference to the accuracy levels.    Software cost estimation is carried out using three types of techniques. They are regression based model, anology based model and machine learning model. Each model has a set of technique for the software cost estimation process. 11 cost estimation techniques fewer than 3 different categories are used in the system. The Attribute Relational File Format (ARFF) is used maintain the software product property values. The ARFF file is used as the main input for the system.  The proposed system is designed to perform the clustering and ranking of software cost estimation methods. Non overlapped clustering technique is enhanced with optimal centroid estimation mechanism. The system improves the clustering and ranking process accuracy. The system produces efficient ranking results on software cost estimation methods.

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Software Cost Estimation Using Clustering and Ranking Scheme

January 20, 2015