Automated Test case generation powered by NomAIzo™ Agentic AI based solution

Executive Summary

The client is a leading provider of automotive and mobility technologies. eInfochips was engaged with the customer for validation of their safety-critical software. However, manual test case design for DO-178C was time-consuming and prone to errors, making the process inefficient. Additionally, ensuring traceability and compliance was essential for certification, yet difficult to achieve.

To address these challenges, eInfochips developed a multi-agent AI based testing tool under its NomAIzo™ AI portfolio. The tool uses an intelligent agent to analyze complex regulatory and requirement documents and automatically generate relevant test cases. The tool utilizes Agentic AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to automate test case generation from the standard software requirement documents. The tool significantly improved productivity by up to 50% while achieving 70% accuracy. The on-premises AI deployment enabled support for multiple business units, allowing shared use of models and reducing overall operational costs

Project Highlights

AI ML featured
  • Agentic AI-based tool development under NomAIzo™ AI portfolio
  • Automated test case generation
  • DO-178C compliance/standard specific test cases
  • Improved productivity by up to 50%
  • Reduced cost with on-premises AI deployment
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