Improving Software Quality Assurance with Automated Testing Frameworks
Abstract
As software systems grow in complexity, ensuring high-quality standards becomes increasingly challenging. Automated testing frameworks have emerged as a key solution to address the growing demands of efficient quality assurance (QA) in software engineering. This paper explores the role of automated testing in software quality assurance, reviewing various testing techniques such as unit testing, integration testing, and end-to-end testing. The paper also compares popular automated testing tools, such as Selenium, JUnit, and TestNG, analyzing their capabilities, limitations, and suitability for different types of projects. By presenting case studies, the research demonstrates how organizations can leverage automation to improve testing coverage, reduce human error, and accelerate the software release cycle while maintaining product quality.
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