Predicting the Reliability of Software Systems Using Fuzzy Logic

Software industry suffer many challenges in developing a high quality reliable software. Many factors affect their development such as the schedule, limited resources, uncertainty in the developing environment and inaccurate requirement specification. Software Reliability Growth Models (SRGM)were significantly used to help in solving these problems by accurately predicting the number of faults in the software during both development and testing processes. The issue of building growth models was the subject of many research work. In this paper, we explore the use of fuzzy logic to build a SRGM. The proposed fuzzy model consists of a collection of linear sub-models joined together smoothly using fuzzy membership functions to represent the fuzzy model. Results and analysis based data set developed by John Musa of Bell Telephone Laboratories are provided to show the potential advantages of using fuzzy logic in solving this problem.