Enhancing Testing Efficiency through the Implementation of an Optimal Test Automation Framework Selection Model
Keywords:
Quality Assurance, Test Automation Framework, Automation Tools, Test Cases, Test SuiteAbstract
Selecting the best automation testing framework from a diverse range of approaches poses a significant challenge, as the available selection schemes fail to produce substantial results when multiple testing scenarios with varying functional requirements are present. In this paper, the authors present the Quality Assurance (QA) aware algorithm and an Optimal Test Automation Framework Selection (OTAFS) model, which consider QA parameters for selecting the optimal automation testing framework. The reliability, throughput and execution time of the selected framework are identified as the most efficient parameters. The study discusses the results of QA parameter values for the selected automation frameworks, which are implemented using Python and Selenium platform is used to create test cases. The proposed model and algorithm is experimentally evaluated on an e-commerce website, and a comparative analysis of the results is provided with QA parameter values of different automation testing frameworks.
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