DBDelve
Dive deep into your data. A fast, native, multi-engine database client written in Rust. Free and open source, no telemetry.
翻訳待ち
AI-powered Software Requirements Analysis (SRA) system that evaluates requirement quality, detects ambiguities, and suggests structured improvements for more reliable and complete SRS documents.
翻訳待ち
Loading the full README.
Read the full README ↗SRA is an enterprise-grade, AI-orchestrated ecosystem designed to formalize the software requirements engineering lifecycle. By combining Large Language Model (LLM) reasoning with rigorous architectural standards, SRA transforms fragmented project visions into high-fidelity, production-ready technical specifications — in IEEE 830-1998, ISO/IEC/IEEE 29148:2018, Volere or Agile PRD form — and traces them back to the code that implements them.
| Resource | URL | Description |
|---|---|---|
| Live Application | sra-xi.vercel.app | Production frontend deployment |
| Architecture Guide | ARCHITECTURE.md | System architecture & design |
| Operations Manual | OPERATIONS.md | Deployment, backup & DR procedures |
| Contributing | CONTRIBUTING.md | Development setup & guidelines |
| Modernization Record | docs/MODERNIZATION.md | Findings, fixes, and deferred work from the latest audit pass |
Industry research, including PMI and other studies, indicates that a significant portion of project failures, often estimated between 30% and 50%, can be traced back to poor requirements engineering, including unclear documentation, semantic ambiguity, and stakeholder misalignment. SRA mitigates this risk by providing an automated, multi-layered validation and synthesis engine.
SRA operates on a proprietary 5-layer pipeline that ensures every requirement is processed through a rigid quality-control sequence.
This is the beginning of the README. Read the rest at the original. Read the full README ↗