RaceSimQA

소개

RaceSimQA is a comprehensive QA regression testing tool specifically designed for racing car simulations. It meticulously compares Monte Carlo simulation results between different car versions, offering deep statistical analysis, time-series telemetry processing, and a configurable scoring system to evaluate performance. Beyond raw data, the tool integrates advanced AI capabilities, including LLM-powered insights, interactive chat with tool calling for natural language database queries, and a robust web-based interface for visualizing results, generating detailed PDF reports, and interacting with the data.

주요 기능

• Statistical comparison and scoring engine for regression analysis
• FastAPI web interface with integrated chat and PDF report generation
• 0 GitHub stars
• Database-backed storage for simulation cars, versions, experiments, and metrics
• AI-powered insights, interactive LLM chat with tool calling for data querying
• Time-series telemetry analysis with configurable threshold crossing detection

사용 사례

• Analyzing performance deviations and identifying root causes using statistical comparisons and telemetry
• Generating detailed, AI-summarized reports and interactive dashboards for engineers and stakeholders
• Automating QA regression testing for new car versions or software updates in racing simulations