Prediction of software reliability

It is known that quantitative measures for the reliability of software systems can be derived from models. And, as such, support product development process. Over past four decades, research activities in this area have been performed. As a result, many models proposed. was shown that, once these reach certain level convergence, it enable developer to release software. And stop testing accordingly. Criteria determine optimal time include number remaining errors, failure rate, requirements, or total system cost. In paper we will present our results predicting agile environments. We seek model way working by extending Jelinski-Moranda ‘stack’ feature-specific models, assuming bugs are labelled with feature they belong to. order demonstrate extended model, several prediction actual cases presented. The questions answered are: how remain and should one decide software?