ON USING SOFT COMPUTING TECHNIQUES IN SOFTWARE RELIABILITY ENGINEERING

Previous investigations have shown the importance of evaluating computer performances and predicting the system reliability. This paper considers soft computing techniques in order to be used for software fault diagnosis, reliability optimization and for time series prediction during the software reliability analysis. It is shown that the study of the data collections during a software project development can be done within a soft computing framework.