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ISSN: 0974-7230

Journal of Computer Science & Systems Biology
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Research Article

Software Size Estimation in Incremental Software Development Based on Improved Pairwise Comparison Matrices

Peter Ochieng1* and Waweru Mwangi2

1Department of Mathematics and Informatics, Taita Taveta University, Kenya

2Institute of Computer Science and Information Technology, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Kenya

*Corresponding Author:
Peter Ochieng
Department of Mathematics and Informatics
Taita Taveta University, Kenya
Tel: 254720965541
E-mail: [email protected]

Received Date: March 14, 2014; Accepted Date: April 15, 2014; Published Date: April 18, 2014

Citation: Ochieng P, Mwangi W (2014) Software Size Estimation in Incremental Software Development Based On Improved Pairwise Comparison Matrices. J Comput Sci Syst Biol 7:079-088. doi: 10.4172/jcsb.1000141

Copyright: © 2014 Ochieng P, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Software sizing is a crucial activity among the task of software management. Work planning and subsequent estimation of effort required is based on the estimate of the software size required. Software developers are realizing the need to speed up the development process to respond to customers’ needs. This has resulted in adoption of rapid development methods and adoption of agile methodologies. Incremental method of software development has been adopted as one of the methods to speed up software development. Unfortunately there is little work that has been done to develop a clear framework to estimate software size and cost in incremental software development environment. This research work proposes the use of Pairwise Comparison matrices framework to estimate size and cost in incremental software development and evaluate the pairwise comparison framework against Putman’s size estimation model to determine if it produces more accurate results in terms of estimation of size relative to actual size.

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