Leveraging Coverage Agents for Automated Testing

Itamar Friedman, the CEO and co-founder of CodiumAI, speaks with host Gregory M. Kapfhammer about how to use generative AI techniques to support automated software testing. Their discussion centers around the design and use of Cover-Agent, an open-source implementation of the automated test augmentation tool described in the Foundations of Software Engineering (FSE) paper entitled “Automated Unit Test Improvement using Large Language Models at Meta“ by Alshahwan et al. The episode explores how large-language models (LLMs) can aid testers by automatically generating test cases that increase the code coverage of an existing testing suite. They also investigate other automated testing topics, including how Cover-Agent compares to different LLM-based tools and the strengths and weaknesses of using LLM-based approaches in software testing.