Evaluation of Automated Testing Tools with Dynamic Test Case Generation Framework

Software testing is a critical phase in software development that ensures the quality of the final product. Two primary approaches to testing are human and automated testing, each with its strengths and drawbacks. However, there is no clear consensus on which approach is superior. To address this issue, we propose a hybrid testing framework that combines the strengths of both approaches. Our framework uses a tailored test automation framework to generate test cases dynamically and execute them both manually and automatically. We statistically analyze and compare the results to determine the effectiveness of each approach. We conducted a case study to test our framework using a representative software application. The results showed that our hybrid approach outperformed both human and automated testing used independently. The hybrid approach offered greater test coverage, improved defect detection, and reduced testing time and effort. Our research provides valuable insights into the relative merits of human and automated testing, and we offer guidance on selecting the best testing strategy based on project needs and constraints. Our proposed framework can be applied to a wide range of software applications, making it a valuable tool for software developers and testers. In conclusion, our hybrid testing framework demonstrates significant benefits over human and automated testing used independently. By combining the strengths of both approaches, we can improve the efficiency and effectiveness of software testing, resulting in higher-quality software products.