Getting Serious About Software Testing: The Model-Based Approach
In this video interview, John Lange with Tricentis explains how model-based automated software testing enhances efficiency and modernization.
In this video interview, John Lange with Tricentis explains how model-based automated software testing enhances efficiency and modernization.
Agencies that rely exclusively on manual software testing are missing the opportunities that automation provides, such as finding and resolving pain points quickly and efficiently, giving employees a more satisfying work experience, strengthening service delivery, and building constituent trust.
Recent advances have made it deceptively easy to build artificial intelligence (AI)-driven applications. But that doesn’t mean that testing AI-based software should be quick as well. Testing should be thorough, and performed by independent teams.
Generative AI holds great potential, but the promise comes with risks. Agencies need to make sure their systems serve the public equitably and effectively.