Software reliability growth model with logistic-exponential TEF in imperfect debugging environment

The most important component of software quality is software reliability. Every software industry wants to develop error and fault free software. Software is systematically checked and detected faults are removed before it delivered into the market. Software reliability growth models help the software industries to develop fault free and reliable software. In this project, we have done an analysis of NHPP software reliability growth model based on the logistic-exponential testing-effort in imperfect debugging environment and also software release-time for reaching different reliability level is calculated. Calculations are done on the actual dataset which is study by Ohba 1984. Parameters are estimated using LSE in Matlab platform, some measures are calculated for evaluation of proposed model and compare our model with few existing model and observed that our proposed model is better fitted compare to other existing models.