Traceability extension for Sphinx documentation generator
AI code review quality gates for PRs, coverage gap detection, and requirements traceability skills
Requirements traceability matrix package for closed-loop product development with agentic AI tools.
Claude Code plugin — structural guardrails for multi-agent software development. RTM-based evidence, cross-model adversarial audit, 7 MCP tools, worktree isolation, HITL retrospective. DOI: 10.5281/zenodo.19108370
Requirement management Skill for one human-readable, AI-coding-ready baseline: intake, clarification, PRD/prototype contracts, change, traceability, and acceptance for ToC/ToB/ToG.
Self-hosted test management platform — manual + automated suites, requirements traceability, Jira & CI integration, and AI-assisted test generation (bring your own key).
CLI tool for managing software specifications as a typed graph
HALO (Harness-Agentic Loopback Orchestration) — A 3-layer AI agent orchestration framework for TDD-based development with RTM-driven traceability
Reqstool is a tool for managing requirements with related software verification cases (aka tests) and verification results (test results)
Requirements Traceability including evidence records (structural, symbolic and numeric)
A requirement-code traceability tool to support requirement-based development efforts, especially for safety-critical flows such as DO-254, DO-178C, or ISO 26262.
Lightning-fast, reference-based requirement tracing that works anywhere.
Free, self-hosted, source-available test management — a modern alternative to TestRail, Xray & qTest. Test cases, run execution, analytics with flaky-test detection, requirements traceability, AI test generation, CLI & REST API. One Go binary + SQLite.
Open source traceability matrix generator written in shell scripts.
Deterministic governance control plane that keeps AI coding agents inside verified requirements, approved scope, traceable evidence, and human-controlled release gates.
A knowledge coordination protocol for human-agent collaboration. Connects research → strategy → requirements → implementation into a traversable, version-aware graph.
A grep-native convention for tracing implementation evidence back to upstream requirements.
Validated Hill Start Assist (HSA) functionality using the Electronic Braking ECU on a dSPACE Scalexio HIL test bench. Focused on braking logic, standstill scenarios, and compliance with automotive safety standards. Implemented automated HIL test execution in Python, performed fault injection, requirement traceability (DOORS/RQM), and ensured robust
Python Decorators and Decorator Processor for reqstool
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