nw-tlaplus-verification

Formalize system behavior with TLA+ or PlusCal and verify invariants via TLC or Apalache.

Updated Mar 18, 2024
One-click install
npx skills add https://github.com/v1bh0r/precise-ledger-pro --skill nw-tlaplus-verification-v1bh0r
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-tlaplus-verification
Source: https://github.com/v1bh0r/precise-ledger-pro/tree/main/nWave/skills/nw-tlaplus-verification
Command: npx skills add https://github.com/v1bh0r/precise-ledger-pro --skill nw-tlaplus-verification-v1bh0r

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TLA+ formal verification provides rigorous design validation for distributed and concurrent systems, complementing traditional testing by proving safety properties and uncovering design flaws early.

Core Features & Use Cases

  • Formal specification: Model system behavior with PlusCal or TLA+ to capture invariants and transitions.
  • Model checking workflow: Use TLC or Apalache to validate specs, explore state spaces, and generate counterexamples.
  • PBT integration: Translate verified invariants into PBT properties to ensure implemented code respects design.
  • End-to-end verification pipeline: Combine design verification with implementation tests to maintain alignment between spec and code.

Quick Start

Create a PlusCal or TLA+ model, configure constants, run TLC or Apalache, and translate invariants into PBT tests to begin verification.

Frequently Asked Questions about nw-tlaplus-verification

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use TLA+ to verify distributed system design before coding?

TLA+ formal verification validates distributed system design by specifying behavior with PlusCal or TLA+ to formalize invariants and state transitions. You configure constants and run model checkers like TLC or Apalache to exhaustively explore state spaces and generate counterexamples.

What is the best way to translate TLA+ invariants into property-based testing for my implementation?

Translating TLA+ invariants into PBT properties ensures implemented code respects the verified design. You take the safety and liveness invariants validated during model checking and rewrite them as property-based tests, creating an end-to-end verification pipeline between spec and code.

Can I use TLC or Apalache for model checking small to medium system configurations?

Yes, TLC and Apalache are used for model checking small to medium configurations by validating specs and exploring state spaces. TLC performs exhaustive model checking while Apalache handles symbolic model checking to uncover design flaws and generate counterexamples.

Does formal verification with TLA+ replace traditional testing for concurrent systems?

Formal verification with TLA+ does not replace traditional testing but complements it by proving safety properties and uncovering design flaws early. You iteratively refine models to ensure design correctness, then translate verified invariants into PBT properties for implementation tests.

How do I start writing a PlusCal or TLA+ specification to formalize state transitions?

To write a PlusCal or TLA+ specification, you identify and specify system behavior to formalize invariants and state transitions. You then configure constants, run model checks using TLC or Apalache, and iteratively refine models to ensure safety and liveness before coding.

Why does model checking fail to prove design correctness for large system configurations?

Model checking with TLC or Apalache is applied across small to medium configurations because large configurations cause state space explosion. You iteratively refine models and configure constants to validate safety and liveness properties within feasible bounds before coding.