GateLens introduces a novel LLM-based system that enhances automotive software release decisions through improved reasoning capabilities and specialized data analysis.

Key Innovations:

• Integrates strategic reasoning gates to improve LLM analysis of complex tabular validation data
• Significantly reduces manual analysis time and costs in automotive software validation processes
• Enhances decision quality for safety-critical automotive systems through AI-assisted analytics
• Demonstrates practical application of LLMs in specialized engineering contexts

This research transforms automotive engineering practices by providing a reliable, automated approach to software validation that maintains safety standards while accelerating release cycles.

GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics