Comparative Study of Soft Computing Techniques for Software Quality Model

Soft Computing refers to a consortium of computation methodologies. It promises to become a powerful means for obtaining solutions to problems quickly, yet accurately and acceptably. And Software Quality Model identifies fault-prone modules and no. of errors in the software. Some existing quality models can predict fault-proneness with reasonable accuracy in certain contexts. The increasing demand of software quality requires more powerful modeling techniques for software quality estimation. There is need to develop a quality models based on modeling techniques that must evaluate high-level quality characteristics with great accuracy. This paper presents a case study of different software quality estimation techniques to build software quality model and also compare the performance of these techniques. A few technique