VectorCAST 2026 adds AI-driven test creation for safety-critical software
Vector Informatik has introduced VectorCAST 2026, the latest release of its embedded software test automation platform. The solution features a new AI-powered Requirements-Based Test Creator designed to improve traceability and streamline testing workflows in safety-critical systems, the company notes.
For eeNews Europe readers working in regulated domains such as automotive, aerospace, and industrial control, this development highlights how AI is being integrated into verification processes without compromising compliance. It also indicates a broader shift toward controlled, explainable AI adoption in embedded software engineering.
AI meets requirements-based testing
According to the release, the headline feature in VectorCAST 2026 is Reqs2x, an AI-supported toolchain that automatically generates unit tests directly from software requirements. By combining intelligent code analysis with large language models, the tool aims to bridge the long-standing gap between requirements definition and implementation.
Key capabilities include automatic mapping of requirements to corresponding functions, with support for importing requirements from tools such as DOORS and Polarion, as well as CSV files, the company notes. This mapping enables more efficient test creation while maintaining end-to-end traceability, which is an essential requirement in safety-critical development.
The platform also introduces AI-assisted test generation using techniques such as program slicing and LLM-based interpretation of requirements. However, Vector emphasizes that human oversight remains central. Generated mappings and test cases are designed for review, ensuring compliance with safety and quality standards.
Focus on control, compliance, and integration
VectorCAST 2026 also addresses enterprise concerns around AI governance and data protection. The platform adopts a Bring-Your-Own-Model (BYOM) approach, allowing organizations to deploy AI models on-premises, in the cloud, or in hybrid environments. This gives users control over data privacy, infrastructure, and cost, according to the release.
Vector’s broader AI strategy relies on modular micro-agents tailored to specific tasks, enabling predictable behavior and easier validation. The company notes alignment with standards such as MISRA C:2025, ISO/IEC AI frameworks, and the EU AI Act, with AI-generated outputs subjected to the same verification processes as human-written code.
Beyond test creation, VectorCAST 2026 integrates into automated quality monitoring pipelines, providing enhanced analysis, reporting, and lifecycle-wide visibility. This includes step-level metrics and process-level coverage designed to support continuous improvement.
VectorCAST is widely used across industries including aerospace, automotive, medical, and railway systems. The new Reqs2x capability is included at no additional cost for existing 2026 license holders, reinforcing Vector’s push toward AI-assisted, traceable testing workflows.
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