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Unravelling the Web: Leveraging Machine Learning for Efficient DOM Structure Analysis in Locator Identification and Software Automation In the dynamic landscape of web development, the quest for robust and efficient locators to interact with elements on web pages is a common challenge faced by developers and quality assurance professionals. To find elements on a web page,
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Artificial Intelligence (AI) has had a significant impact on the Quality Assurance (QA) industry, transforming the way software and product testing is conducted. Here are some key ways AI has influenced the QA industry: Test Automation: AI and machine learning have enabled the development of advanced test automation tools. AI-driven test automation can automatically generate
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Introduction In the fast-paced world of software development, staying ahead of the curve is crucial to ensure the quality and reliability of your software applications. Software automation testing has become an indispensable tool for developers and testers to streamline the testing process, enhance product quality, and accelerate time-to-market. In this blog, we'll explore the latest trends
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In today's fast-paced world of software development, speed and efficiency are key. Companies must deliver high-quality software products quickly to stay competitive. This is where automation testing comes into play. Automation testing has become an essential component of the software development lifecycle, offering numerous advantages that help streamline the testing process and improve the overall
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