Table of Contents
Advances in Software Engineering
Volume 2014 (2014), Article ID 803530, 7 pages
http://dx.doi.org/10.1155/2014/803530
Research Article

An Improved Approach for Reduction of Defect Density Using Optimal Module Sizes

Department of Computer Science & Engineering, Jaypee University of Engineering and Technology, Guna, India

Received 4 April 2014; Revised 25 July 2014; Accepted 8 August 2014; Published 24 August 2014

Academic Editor: Robert J. Walker

Copyright © 2014 Dinesh Verma and Shishir Kumar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Nowadays, software developers are facing challenges in minimizing the number of defects during the software development. Using defect density parameter, developers can identify the possibilities of improvements in the product. Since the total number of defects depends on module size, so there is need to calculate the optimal size of the module to minimize the defect density. In this paper, an improved model has been formulated that indicates the relationship between defect density and variable size of modules. This relationship could be used for optimization of overall defect density using an effective distribution of modules sizes. Three available data sets related to concern aspect have been examined with the proposed model by taking the distinct values of variables and parameter by putting some constraint on parameters. Curve fitting method has been used to obtain the size of module with minimum defect density. Goodness of fit measures has been performed to validate the proposed model for data sets. The defect density can be optimized by effective distribution of size of modules. The larger modules can be broken into smaller modules and smaller modules can be merged to minimize the overall defect density.