Software Defects Prediction Using Soft Computing Techniques

Software quality and reliability has been uncompromising attribute in the software development. The software error can be a small deviation in the process, an improper definition of the requirement, or misrepresentation of the definition. To avoid the lateral cost of the software we need to evaluate the software defects in the different phases of the software development life cycle.Software defect density prediction in each phase of the software development life cycle (SDLC) is critical to build a dependable software product. In the model, the defect density indicator in the requirement analysis, design, coding and testing phase is predicted using software metrics of these corresponding phases.