Improving the Effectiveness of Fuzz Testing by Incorporating Association Rule Mining for Hardware Verification

About

TIMA Laboratory

Also known as: TIMA

TIMA Laboratory is a public joint research unit involving CNRS, Grenoble-INP, and UGA. It focuses on integrated systems, engaging in cooperative projects with diverse international partners.

Metadata

Application areas: Financial services, Healthcare, Public transport

Topics: Computer architecture, Computing continuum, Deep learning, Design Verification, Embedded Systems, Energy efficiency / Low-power computing

Summary

TIMA Laboratory seeks a candidate to enhance fuzz testing methods through association rule mining to improve hardware verification processes. This role focuses on innovative techniques for better outcomes.