Emtech Group On-Demand Webinar

Introduction:

This webinar delves into the future of QA in insurance testing and how to navigate it effectively. In the life insurance value chain, leveraging automation and web application testing is crucial to enhance testing effectiveness and efficiency. Automated testing outperform manual testing by consistently and accurately repeating predefined actions, significantly reducing time and costs while increasing test coverage. Automated tests can handle complex scenarios and perform tasks impossible for manual testing, such as simulating thousands of virtual users. By automating repetitive tasks, test engineers can focus on more complex features, improving overall web applications quality.

Knowledge graphs are revolutionizing automated web application testing in life insurance by visually expressing relationships between data, information, and business flows. These graphs, consisting of nodes, edges, and labels, streamline the creation and execution of test cases by automatically generating them based on business logic and requirements. This automation eliminates manual test design, ensuring comprehensive test coverage and improving defect detection, ultimately reducing customer dissatisfaction and enhancing the reliability and quality of insurance products. Data-driven testing methodologies further increase test coverage by running repeated sequences with diverse inputs, making testing more efficient and thorough.