Logistic Regression Approach to Software Reliability Engineering with Failure Prediction

In this paper using the main feature of our proposed Model in its inflection point, we propose a softwarereliability growth model, which relatively early in the testing and debugging phase, provides accurateparameters estimation, gives a very good failure behavior prediction and enable software developers topredict when to conclude testing, release the software and avoid over testing in order to cut the cost duringthe development and the maintenance of the software. Two real world experimental data previouslyanalyzed have been used to compare our proposed Early Estimation Logistic Model effectiveness withseveral pre-existing models.