Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

SPIN model checker

SPIN is a general tool for verifying the correctness of concurrent software models in a rigorous and mostly automated fashion. It was written by Gerard J. Holzmann and others in the original Unix group of the Computing Sciences Research Center at Bell Labs, beginning in 1980. The software has been available freely since 1991, and continues to evolve to…

Science & Products

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around SPIN model checker. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in
English
Developer
Gerard J. Holzmann
License
3-clause BSD License (since version 6.4.5) · SPIN Software Public License (previous versions)
Operating system
Linux Microsoft Windows Mac OS X
Release
1989 (1989)
Repository
github.com/nimble-code/Spin

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Tool

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

SPIN model checker

Nodes19
Edges18
Triples21
Avg. degree1.89
Density0.105263
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

SPIN model checker

Top relations

related to Further reading · 10
SPIN model checker → Addison-Wesley, Holzmann, ISBN, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Primer, Reference Manual, The SPIN Model Checker, Wikisource-logo
License · 2
SPIN model checker → 3-clause BSD License (since version 6.4.5), SPIN Software Public License (previous versions)
Available in · 1
SPIN model checker → English
Developer · 1
SPIN model checker → Gerard J. Holzmann
Operating system · 1
SPIN model checker → Linux Microsoft Windows Mac OS X
Release · 1
SPIN model checker → 1989 (1989)
Repository · 1
SPIN model checker → github.com/nimble-code/Spin
Stable release · 1
SPIN model checker → 6.5.2 / December 6, 2019; 6 years ago (2019-12-06)
Type · 1
SPIN model checker → Model checking
Website · 1
SPIN model checker → http://spinroot.com/

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

spin model software holzmann gerard also since model-checking tool system written available checker computing center automata checking website unix verified

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
SPIN model checkerAvailable inEnglish1.00infobox
SPIN model checkerDeveloperGerard J. Holzmann1.00infobox
SPIN model checkerLicense3-clause BSD License (since version 6.4.5)1.00infobox
SPIN model checkerLicenseSPIN Software Public License (previous versions)1.00infobox
SPIN model checkerOperating systemLinux Microsoft Windows Mac OS X1.00infobox
SPIN model checkerRelease1989 (1989)1.00infobox
SPIN model checkerRepositorygithub.com/nimble-code/Spin1.00infobox
SPIN model checkerStable release6.5.2 / December 6, 2019; 6 years ago (2019-12-06)1.00infobox
SPIN model checkerTypeModel checking1.00infobox
SPIN model checkerWebsitehttp://spinroot.com/1.00infobox
SPIN model checkerWritten inC1.00infobox
SPIN model checkerrelated to Further readingHolzmann0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.