Semantic Engineering Framework
Reqvire
Build verifiable and traceable software.
Model ontologies, capabilities, requirements, and verifications in Git, with traceability and engineering context built in for humans, AI agents, and modern engineering workflows.
Semantic Engineering Framework
Reqvire is a semantic engineering framework that turns requirements, capabilities, ontologies, verifications, and code into connected engineering knowledge.
Ontologies define structural domain vocabulary, relationships, axioms, and semantic meaning.
Concepts define curated SKOS thesaurus terms, definitions, synonyms, taxonomy, and concept mappings.
Capabilities describe coherent operational, product, business, regulatory, or system abilities.
Requirements define implementable obligations, constraints, guarantees, and behavioral expectations.
Contracts define requirements in precise terms: source basis, specifications, constraints, behavior, state, interfaces, and input/output semantics.
Verifications provide evidence that requirements and capabilities are satisfied.
Implementation artifacts connect the model to code, tests, proofs, and generated evidence.
Unlike traditional requirements tools, Reqvire treats engineering knowledge as a connected, versioned model rather than disconnected documents. That knowledge stays reviewable, queryable, and aligned with the codebase.
Where Reqvire Sits
Reqvire naturally sits between:
Key Capabilities
Six core capabilities that make Reqvire a complete semantic engineering framework.
Semantic Engineering in Git
Keep engineering knowledge versioned, traceable, reviewable, AI-readable, and semantically connected alongside implementation artifacts.
Capability-Driven Engineering
Develop systems around coherent operational capabilities instead of disconnected feature lists. Capabilities decompose hierarchically and remain stable across implementation changes.
Ontology-Driven Engineering
Bring structural ontology and curated concept vocabulary directly into the engineering workflow. Reqvire keeps terminology explicit, reusable, and visible to humans and AI systems.
Specification-Driven Development
Develop from capabilities and requirements while keeping implementation, architecture, tests, and verification artifacts aligned with engineering intent.
Automated Traceability
Maintain links between ontologies, capabilities, requirements, contracts, code, tests, proofs, and verification artifacts.
Verification & Validation
Track verification coverage, behavioral correctness, implementation alignment, and validation evidence throughout the lifecycle.
Automation
Reqvire can generate: