From Research Paper to Prototype: Using Generative AI to Automatically Generate Test Cases
Introduction About five years ago, I came across a research paper on Search-Based Software Testing (SBST) published on IEEE. The idea was fascinating: instead of writing test cases manually, software testing could be treated as an optimization problem. Algorithms could explore the space of possible inputs and automatically discover test cases that maximize coverage and expose hidden defects. Conceptually, it felt like a glimpse into the future of testing. But there was a problem. ...