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Informative Article | Science and Technology | India | Volume 9 Issue 3, March 2020
Automation Landscape: A Logical Analysis from Framework Absence to Optimal Selection
Abstract: In the ever-changing landscape of software automation, the decision to choose the most appropriate framework holds great significance as it has the potential to greatly impact the effectiveness of testing and quality assurance processes. This paper aims to address the initial challenges that organizations may encounter when they lack a structured automation framework. It emphasizes the importance of recognizing this absence and the opportunity it presents for improvement. Furthermore, we will examine the key factors involved in transitioning from an absence of framework to selecting an optimal automation framework. Throughout this exploration, we will underscore the importance of evaluating organizational requirements, considering compatibility with technology, and assessing scalability. We will delve into the various types of frameworks that are available and discuss how to align them with specific aspects of projects. Additionally, we will discuss the necessity of adaptability in a rapidly evolving technological landscape. In the pursuit of efficiency, reliability, and cost-effectiveness in automation efforts, the process of selecting a strategic framework becomes increasingly crucial. This paper provides insights into the logical analysis required to bridge the gap from the absence of a framework to making an optimal selection. By doing so, it equips professionals with the knowledge needed to make informed decisions and maximize the potential of their automation initiatives. For those seeking clarity in the complex realm of automation framework selection and implementation, this paper serves as a valuable resource.
Keywords: Test automation, Automation, Traditional Framework, Keyword driven framework, Software testing
Edition: Volume 9 Issue 3, March 2020,
Pages: 1630 - 1635