Test Plan Optimisation

Monolith’s Test Plan Optimisation module is an AI-driven tool that helps engineering teams streamline validation testing by identifying the most critical tests and eliminating redundant ones. Built for complex systems and high-cost testing environments, it uses proprietary algorithms to explore design spaces and recommend efficient test strategies, reducing time, cost, and risk in product development.

Features

• AI-guided test planning that reduces test steps by up to 70%
• Thousands of recommender algorithms applied to model design space
• Progressive test recommendations based on existing or partial test data
• Interactive review of test candidates and conditions
• Integration with Monolith’s Core Platform for seamless workflow

Capabilities

• Design Space Exploration: Uses AI to simulate and analyze thousands of test scenarios.
• Test Prioritization: Identifies which tests are essential and which can be skipped.
• Data-Driven Strategy: Builds confidence in test plans using historical and real-time data.
• Scalable Deployment: Suitable for enterprise-level engineering teams across industries.
• Error Detection: Flags faulty assumptions and unnecessary test conditions early.

Benefits

• Reduced Testing Costs: Cuts down on expensive physical tests and resource usage.
• Accelerated Validation: Speeds up product development by minimizing prototype iterations.
• Improved Test Coverage: Ensures critical conditions are tested while avoiding redundancy.
• Enhanced Decision Confidence: Engineers can proceed with fewer tests and greater certainty.
• Optimized Resource Allocation: Frees up test rigs and personnel for high-impact tasks.