Software Reliability for Agile Testing

Software reliability testing Regression testing Non-regression testing Avionics software
DOI: 10.3390/math8050791 Publication Date: 2020-05-14T14:27:19Z
ABSTRACT
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 and stop testing accordingly. Criteria determine optimal time include number remaining errors, failure rate, requirements, or total system cost. In paper, we present our results predicting agile environments. We seek model way working by extending Jelinski–Moranda “stack” feature-specific assuming bugs are labeled with features they belong to. order demonstrate extended model, two use cases presented. The questions answered are: how remain should one decide software?
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