Joint effect of Learning and Testing Effort in SRGM with Fault Dependent Correction Delay

Software Reliability growth models are helping the software society in predicting and analyzing the software product in terms of quality. In this context several software reliability growth models are proposed in the literature. Majority of models concentrated on fault detection process, ignoring the correction. Error detection, correction and dependency are the important phenomenon for the software reliability models. In this paper we proposed a new SRGM model based on correction lag and error dependency in SRGM with incorporating the testing effort and learning. All numerical calculations are carried out on real datasets and results are analyzed. By analyzing the results we can say that our proposed model fits well for the datasets.