the Provenblog

Using ChatGPT and Provengo for Effective Testing

Provengo: A Better Solution for Comprehensive Testing Provengo offers a systematic approach to designing and executing test plans through behavior modeling. Instead of writing individual test cases, Provengo allows you to define behavioral models that encompass all possible interactions within a system. These models can then generate test suites that achieve better coverage, uncover edge cases, and ensure the reliability of your software. Using ChatGPT to Create Provengo Models Rather than asking ChatGPT to generate test suites directly, practitioners can leverage its capabilities to create Provengo models. For instance: Prompt: I have three scenarios that I want to interleave using Provengo: (1) Login: type the username, type the password, and click Login. (2) Add to cart: repeat several times {search products, add to cart}, and proceed to checkout. (3) Administrator: search product and change its availability to customers. I want to check both happy and rainy-day paths. This approach results in a behavioral model that tests the application comprehensively. Provengo’s framework enables practitioners to generate diverse test suites with coverage guarantees, ensuring that all critical paths—both expected (happy paths) and edge cases (rainy-day scenarios)—are tested effectively. Moreover, the detailed reports produced by Provengo provide valuable insights into product readiness and help guarantee the expected behaviors in a rich set of usage scenarios. By modeling behaviors in Provengo, testers can systematically explore various sequences and interactions, achieving more robust and reliable test coverage.