Software Testing And Defect Analysis Using Soft Computing Concepts

Software testing is a wide field which is still a subject of much research. It encompassing several methods and fields related to it include Software defect analysis and fault prediction. Software fault prediction is the process of developing models that can be used by the software practitioners in the early phases of software development life cycle for detecting faulty constructs such as modules or classes. There are various machine learning techniques used in the past for predicting fault testing software and analysis of defects. This paper aims to provide a comprehensive discussion on the recent trends in these fields and the application of Soft Computing concepts in the for testing and fault detection.