Frequency Distribution for Software Defect Prediction

Abstract

Software Defect Prediction (SDP) is a main activity in testing Phase of Software Development Life Cycle. It spots the modules that are defect prone and necessitate extensive testing. Thus, the testing resources can be used professionally without infringing the restriction. Nevertheless, Software Defect Prediction (SDP) is very cooperative in testing; it’s not always easy to foresee the defective modules. There are several problems that hamper the smooth performance as well as use of the defect prediction models. In present paper, a survey on diverse software firms to classify and analyze their software prediction models, carry out a SWOT (Strength Weakness Opportunities Threats) analysis of each model, recognize non value added activities in these models using VSM (Value Stream Mapping) and FMEA (Failure Model Effective Analysis) as a tool and in conclusion come out with an adoptive model which will have benefits of all models and can be extensively used.