Enhancing internal quality of the software using intelligence code evaluator

Abstract

Software quality is assessed by a number of variables. These variables can be divided into external and internal quality criteria. External quality is what a user experiences when running the software in its operational mode. Internal quality refers to aspects that are code-dependent, and that are not visible to the end-user. Internal quality of the software is measured by software developer only. Developer fix the code complexity according to the problem. Minimum size of source code will leads to reduce debugging time and cost. This paper proposes a software quality support tool, a Java source code evaluator and a code profiler based on computational intelligence techniques to reduce schedule slippage of development activity. It gives a new approach to evaluate and identify inaccurate source code usage and transitively, the software product itself. The aim of this project is to provide the software development industry with a new tool to increase software quality by extending the value of source code metrics through computational intelligence. © 2012 Springer-Verlag.