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
AUTHORS (4)
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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