Fault Prediction Model by Fuzzy Profile Development of Reliability Relevant Software Metrics

Abstract

See, stats, and : http : / / www . researchgate . net / publication / 49592742 Fault Development Metrics ARTICLE DOI : 10 . 5120 / 1584 - 2124 : DOAJ CITATION 1 READS 43 2 : Ajeet AECOM 12 SEE Neeraj IIT 15 SEE Available : Neeraj Retrieved : 16 ABSTRACT This paper presents a fault prediction model using reliability relevant software metrics and fuzzy inference system . For this a new approach is discussed to develop fuzzy profile of software metrics which are more relevant for software fault prediction . The proposed model predicts the fault density at the end of each phase of software development using relevant software metrics . On the basis of fault density at the end of testing phase , total number of faults in the software is predicted . The model seems to useful for both software engineer as well as project manager to optimally allocate resources and achieve more reliable software within the time and cost constraints . To validate the prediction accuracy , the model results are validated using PROMISE Software Engineering Repository Data set .