Towards Reliable LLM-Assisted Verification Artifact Generation in EDA

LLM-enabled Behavior Driven Development Workflow for Formally Verified Hardware Designs

Recently, the use of Large Language Models (LLMs) for different tasks in the Electronic Design Automation (EDA) life-cycle has been studied extensively, but an integrated view is lacking. Specifications are the foundation of this life-cycle, but they suffer from ambiguity when written in natural language, which especia...

Evaluating Template- and Model-Guided LLMs for Requirements Specification

Requirements specification is a pivotal activity in software development. The use of structured templates for specifying requirements can improve their clarity, consistency, and analyzability, which is particularly important in safety-critical domains such as avionics to support verification and certification activitie...

Path2Spec: Path-Aware Specification Generation via Large Language Models

This work introduces Path2Spec, a divide-and-conquer framework that leverages LLMs to extract all execution paths from an input program, generates path-specific specifications for each, and merges them into a comprehensive overall specification.

Break It First: Stakeholder Participation in Quality Assurance for LLM Features

BRIDGE: Building Representations in Domain-Guided Program Synthesis

BRIDGE is presented, a structured prompting framework that decomposes verification into three interconnected domains: Code (implementations), Specifications (formal intent), and Theorem State-ments (constructive correctness claims), and elicits domain-specific intermediate reasoning to connect them.

From Reading Code to Reading Spec: A Verified Layer for LLM-Driven Codebase Maintenance

The rapid growth of LLM-generated code increases software complexity and the maintenance burden on engineers. While LLMs offer a potential automated alternative, this structural complexity hinders their ability to manage codebases directly. We introduce the Provable Representation Of Original Functionality (PROOF), whi...