The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System

Abstract

Dependency on computer aided systems is increasing heavily now a days in the modern era with the evolution of latest concepts, technologies and tools in the field of computer science. At the same time the quality of service is being affected by some software failures or faults or bugs in order to meet the required level of performance and accuracy levels which ultimately leads so   many people to go for alternatives of the old softwares. To address the issues so many software engineers, developers and system analysts recognized that some software functions are critical and their consequences of the problems are significant enough and they tried to find out/suggest the solutions for them. Let us examine the different definitions given by different scientists for the  software quality and software reliability. In this project we proposed an approach for the implementation of Software Reliability Assessment Model based on Neuro-Fuzzy based Systems using MTBF values as a parameter.