An Innovative Framework for Automated Software Testing and Validation

Abstract

The rising scale and the intricate nature of these systems make the verification & validation (V&V) of classifications that are automated more costly and to much time-taking. Furthermore, the V and V of the following systems might be hampered if the techniques and procedures are not effectively documented, assessed, and selected. Practitioners must employ appropriate V and V methodologies and conduct acceptable V and V procedures to ensure the following systems perform as proposed and in cost-effective way. Earlier efforts have produced several categorizations and models that may be used to categorize V and V approaches and technologies. The goal of this study is to give a wide, comprehensive, and simple framework for characterization needs, rather than focusing on particular parts of V and V methodologies and procedures. To that purpose, in this study, we provide a multi-domained and multi-dimensioned framework for characterizing and classifying V and V approaches and tools in an organized manner. The framework reflects a complete description of several key features of V&V. As an example of usage, a web-based repository has been created based upon the framework to gather information regarding the use of V and V approaches and tackles. Experts and scholars may readily learn about and select acceptable V and V procedures this way.