SE Radio 633: Itamar Friedman on Automated Testing with Generative AI

SE Radio 633: Itamar Friedman on Automated Testing with Generative AI

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...
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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.

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