Software efforts estimation using Use Case Point approach by increasing Technical Complexity and Experience Factors

An IT industry wants a simple and accurate method of efforts estimation. Estimation of efforts before starting of work is a prediction and prediction always not accurate. Intermediate COCOMO considered 17 factor that affecting the efforts, UCP considered 13 Technical Complexity Factors and 05 Experience factors. There is a lot factors that can affect efforts estimation .Most of the parameter are covered by COCOMO and UCP, but some parameters which are included in COCOMO left by UCP. UCP is one of the popular approaches of effort estimation. This paper is increasing the Technical complexity and Experience factors used in traditional UCP approach.

[1]  Edward R. Carroll Estimating software based on use case points , 2005, OOPSLA '05.

[2]  Juan Jose Cuadrado-Gallego,et al.  Analogies and Differences between Machine Learning and Expert Based Software Project Effort Estimation , 2010, 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

[3]  Barry W. Boehm,et al.  Software Engineering Economics , 1993, IEEE Transactions on Software Engineering.

[4]  Ivar Jacobson,et al.  The unified modeling language reference manual , 2010 .

[5]  Sun-Jen Huang,et al.  The adjusted analogy-based software effort estimation based on similarity distances , 2007, J. Syst. Softw..