Here's title and abstract of Caroline Lemieux Keynote:
Title: The Power of Fuzzing and Large Language Models
Abstract: Feedback-directed fuzzing (a.k.a. coverage-guided or greybox fuzzing) algorithms and their efficient implementation have shown themselves to be a force in the field of automated testing and bug discovery. These algorithms do great at exploring search spaces through mutation, when each evaluation run is cheap. Large language models have emerged as a force in the generation of both natural language and code, showing promise for search tasks over these spaces. This keynote will cover projects that show the power of feedback-directed-fuzzing on its own, and how large language models can be used most effectively in conjunction with and complement to automated testing techniques.
Here's title and abstract of Caroline Lemieux Keynote:
Title: The Power of Fuzzing and Large Language Models
Abstract: Feedback-directed fuzzing (a.k.a. coverage-guided or greybox fuzzing) algorithms and their efficient implementation have shown themselves to be a force in the field of automated testing and bug discovery. These algorithms do great at exploring search spaces through mutation, when each evaluation run is cheap. Large language models have emerged as a force in the generation of both natural language and code, showing promise for search tasks over these spaces. This keynote will cover projects that show the power of feedback-directed-fuzzing on its own, and how large language models can be used most effectively in conjunction with and complement to automated testing techniques.