Exploratory testing is a foundational software testing approach where testers actively learn about the system under test and design tests concurrently while executing them. Unlike scripted testing with predefined test cases, exploratory testing relies on the tester's skills, intuition and judgment to dynamically explore the software's behavior. However, as systems grow vastly complex, purely manual exploration strains to achieve sufficient test coverage.
This is where large language models come in - AI systems trained on massive text data that can understand and generate natural language. Prominent examples include ChatGPT, Google's LaMDA and Anthropic's Claude. These models' language mastery enables a revolutionary expansion of exploratory testing through conversational interfaces. By automating laborious testing tasks while amplifying human capabilities, large language models may unlock...
No-code platforms are revolutionizing organizations by enabling development teams to rapidly create beautifully engaging enterprise applications that...
