Paper Title
A COMPARATIVE EVALUATION FRAMEWORK FOR AUTOMATED SOFTWARE TESTING TOOLS

Abstract
The increasing complexity of modern software systems has amplified the demand for efficient, reliable, and scalable testing practices. Automated software testing tools have emerged as essential solutions to enhance software quality while reducing cost and time-to-market. However, the wide variety of tools available, each offering distinct features, performance levels, and usability factors, makes it challenging for practitioners to select the most suitable option for their projects. This paper proposes a comprehensive evaluation framework for the comparative analysis of automated testing tools. The framework integrates both quantitative and qualitative measures, including execution performance, test coverage, ease of configuration, integration capabilities, and user satisfaction. Using this framework, multiple tools are systematically assessed to highlight their strengths, limitations, and trade-offs. The study provides actionable insights to guide software developers, testers, and organizations in making informed decisions when adopting automated testing solutions. Ultimately, the framework contributes to bridging the gap between technical capabilities and practical usability in automated testing tool selection. Keywords - Automated Software Testing, Testing Tools, Comparative Evaluation, Software Quality Assurance, Test Automation Framework, Performance Analysis, Usability, Test Coverage, Tool Selection Criteria, Software Engineering.