An Innovative Framework for Automated Software Testing and Validation

Noman Arshid, Riasat Ali, Hafiz Shoaib Ur Rahman, Sadia Watara, Muhammad Waseem Iqbal, Saleem Zubair Ahmad, Sadaquat Ali Ruk and Zulfiqar Ali Ayaz
Additional contact information
Noman Arshid: Department of Information Technology, Superior University, Lahore, 54000, Pakistan
Riasat Ali: Department of Computer Science, Superior University, Lahore, 54000, Pakistan
Hafiz Shoaib Ur Rahman: Department of Information Technology, Superior University, Lahore, 54000, Pakistan
Sadia Watara: Department of Computer & Mathematical Sciences, New Mexico Highlands University Las Vegas, USA
Muhammad Waseem Iqbal: Department of Software Engineering, Superior University, Lahore, 54000, Pakistan
Saleem Zubair Ahmad: Department of Software Engineering, Superior University, Lahore, 54000, Pakistan
Sadaquat Ali Ruk: Department of Computer Science, Shah Abdul Latif University, Ghotki Campus, Pakistan
Zulfiqar Ali Ayaz: Department of Information Technology, Superior University, Lahore, 54000, Pakistan

Bulletin of Business and Economics (BBE), 2024, vol. 13, issue 1, 510-515

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.

Keywords: V and V (Verification and Validation); Automation Systems; Framework for Windows; Method. (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:rfh:bbejor:v:13:y:2024:i:1:p:510-515

DOI: 10.61506/01.00234

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