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A-SPICE 4.0 Work Product Automation

PAVE

AI reads your documents and your knowledge together
to write A-SPICE work products

PopcornSAR A-SPICE V-model Engine — a desktop automation tool that turns specification documents into system/SW requirements, architecture, and detailed design documents, generated on top of a project knowledge base with evidence attached.

PAVE V-model workflow canvas

Actual PAVE screen — A-SPICE 4.0 V-model workflow canvas

Why PAVE

Four answers for AI adoption done right

A-SPICE work products are a good fit for AI — if the pitfalls are engineered away.

01 · One Source

Built from one knowledge base

Every work product is written from the same knowledge base — no inconsistencies between documents.

Naive AI adoption — Ask each document separately and you get a different answer every time.

02 · Grounded

Never fills in without evidence

Items not confirmed in the source stay blank and are explicitly marked.

Naive AI adoption — When unsourced sentences slip in, there is no way to tell.

03 · Built-in Tools

Deterministic input goes to tools

Machine-readable input is handled by built-in tools; only judgment calls go to AI.

Naive AI adoption — Throwing everything at an LLM burns tokens and time, and results differ every run.

04 · Your Knowledge

Your domain knowledge goes in

Enter in-house conventions and decisions directly — they are reflected in every A-SPICE work product.

Naive AI adoption — Generic AI doesn't know your context; its output looks plausible but isn't yours.

Architecture

AI for judgment, tools for patterns

AI agents and built-in deterministic tools run side by side.

AI Agents

Write the prose that needs judgment — role-based A-SPICE agents author documents grounded in the knowledge base and source documents.

Requirements EngineerSystem ArchitectSW ArchitectDetailed Design EngineerVerification Engineer

Built-in Tools

Read deterministic input directly — structure analysis, diagrams, and document-site generation run without a single LLM call.

AUTOSAR IntegratorVFB Structure GeneratorSWC Structure GeneratorBSW Layer GeneratorCode Dependency AnalyzerC/C++/Rust Code Analyzer

Everything a tool handles is one less place to hallucinate — and fewer tokens and less time.

How It Works

From documents to reviewable work products

Four steps — input, knowledge, run, output.

01 · Input

Use your existing assets as they are

Import customer documents and design assets directly. Originals are preserved as files in the project workspace.

  • Import PDF · DOCX · XLSX · PPTX
  • Originals preserved as-is
  • Inputs, knowledge, and outputs in one tree
PAVE file viewer — input specification PDF
02 · Knowledge

Every output is written from one knowledge base

Knowledge extracted from documents, plus domain knowledge entered by your engineers. In-house standards, platform specifics, past project decisions — enter once, reflected everywhere.

  • Typed knowledge items + relation graph
  • Direct entry path for engineers
  • Every item linked to source evidence
PAVE knowledge wiki — items and relation graph
03 · Workflow

On the V-model, only the stages you need

Run selected stages on a workflow that mirrors the A-SPICE 4.0 V cycle.

  • Per-stage on/off
  • Output language — Korean · English · Japanese
  • Model and reasoning effort per run
PAVE run panel — stages, language, model
04 · Output

Work products ready for review

A-SPICE work products complete with structure, tables, and architecture diagrams — browsable on a generated document site.

  • SyRS · SyAD · SwRS · SwAD · SwDD
  • Architecture diagrams included
  • Searchable document site
PAVE output — document with architecture diagram
05 · Trust

Engineered to minimize AI hallucination

Not writing without evidence is PAVE's first principle.

Unsupported fields stay blank

Items not confirmed in the source are left blank and marked — never filled in plausibly.

Human decisions flagged for review

Items that need in-house judgment are marked as review requests and handed to people.

Review points located automatically

After generation, the tool points at what to check — review the flagged spots, not the whole document.

Why It Wins

What AI lacks is your domain knowledge

Decisions that never make it into documents drive real designs. PAVE calls this layer knowledge, not document storage — and gives your engineers a direct path to enter it.

Pricing

Simple pricing

Start with a free trial and scale with your projects

RECOMMENDED
Trial
Free
Free evaluation
  • Full desktop app features
  • Sample project included
  • Works with your Claude subscription
  • Community support
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Pro
Contact
Per-project license
  • + Ontology & template customization
  • + In-house document formats
  • + Technical support
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OEM / TIER 1
Enterprise
Custom
Corporate subscription · tailored licensing
  • + Dedicated technical support
  • + Onboarding & training
  • + Process integration consulting
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From writing documents
to reviewing them

We'll walk you through technical consultation, a live demo, or a PoC project.

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