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Clean (programming language): Works, Features & Compiling

Clean is a general-purpose purely functional programming language. Originally called the Concurrent Clean System or the Clean System, it has been developed by a group of researchers from the Radboud University in Nijmegen since 1987. Although development of the language has slowed, some researchers are still working in the language. In 2018, a spin-off…

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Clean (programming language) topic overview

The analysis highlights Works, Features and Compiling as prominent areas in the source structure around Clean (programming language).

Related topics
47
Source areas
7
Connected nodes
54
Extracted relationships
11
Concept neighborhoods
23
Bridge connections
54

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Features · 16 topics
Compiling · 10 topics
Platforms · 6 topics
Examples · 5 topics
How Clean works · 5 topics
Overview · 4 topics
Comparison to Haskell · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

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

Designed by
Software Technology Research Group of Radboud University Nijmegen
Filename extensions
.icl, .dcl, .abc
First appeared
1987; 39 years ago (1987)
License
Simplified BSD
OS
Cross-platform
Paradigm
Functional

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Features

Examples

How Clean works

Compiling

Platforms

Comparison to Haskell

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.

How Clean (programming language) connects Entity context

The extracted context around Clean (programming language) shows recurring relationship patterns in the source. For example, Clean (programming language) → Software Technology Research Group of Radboud University Nijmegen Another extracted example is Clean (programming language) → .icl, .dcl, .abc. Use these groups to spot repeated connection types before inspecting the individual relationships.

Clean (programming language)

Top relations

Designed by · 1
Clean (programming language) → Software Technology Research Group of Radboud University Nijmegen
Filename extensions · 1
Clean (programming language) → .icl, .dcl, .abc
First appeared · 1
Clean (programming language) → 1987; 39 years ago (1987)
License · 1
Clean (programming language) → Simplified BSD
OS · 1
Clean (programming language) → Cross-platform
Paradigm · 1
Clean (programming language) → Functional
Stable release · 1
Clean (programming language) → 3.1 / 5 January 2022; 4 years ago (2022-01-05)
Typing discipline · 1
Clean (programming language) → Strong, static, dynamic
Website · 1
Clean (programming language) → clean.cs.ru.nl

Important terminology

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

Important terminology

clean abc code haskell language compiler graph written system machine windows although researchers functional group radboud university nijmegen 1987 type

Clean (programming language) relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Clean (programming language). Examples in this analysis include Clean (programming language) → Designed by → Software Technology Research Group of Radboud University Nijmegen and Clean (programming language) → Filename extensions → .icl, .dcl, .abc. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Clean (programming language)Designed bySoftware Technology Research Group of Radboud University Nijmegen1.00infobox
Clean (programming language)Filename extensions.icl, .dcl, .abc1.00infobox
Clean (programming language)First appeared1987; 39 years ago (1987)1.00infobox
Clean (programming language)LicenseSimplified BSD1.00infobox
Clean (programming language)OSCross-platform1.00infobox
Clean (programming language)ParadigmFunctional1.00infobox
Clean (programming language)Stable release3.1 / 5 January 2022; 4 years ago (2022-01-05)1.00infobox
Clean (programming language)Typing disciplineStrong, static, dynamic1.00infobox
Clean (programming language)Websiteclean.cs.ru.nl1.00infobox
numbers are graphsinstance ofConstants0.80text
functions are graph rewriting formulasinstance ofConstants0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Clean (programming language) bring nearby vocabulary together. In this analysis, examples include Haskell, Windows and Code. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Clean (programming language)
    • Haskell
    • Windows
    • Code
    • Compiler
    • Language
    • Written
    • Researchers
    • Available
    • Core
    • Files
    • Native
    • Use
  • clean (programming language)
    • Compiling
    • Haskell
    • Windows
    • Code
    • Compiler
    • Language
    • Written
    • Abc
    • Icl
    • Nijmegen
    • Platforms
    • Radboud
  • machine code
    • Icl
    • Written
    • Code
    • Compiler
    • Machine
    • Converted
    • Core
    • Files
    • Intermediate
    • Native
    • Use
    • Nijmegen
  • how clean works
    • Haskell
    • Windows
    • Code
    • Compiler
    • Language
    • Written
    • Available
    • Core
    • Files
    • Native
    • Use
    • System
  • glasgow haskell compiler
    • Syntax
    • Written
    • Core
    • Code
    • Icl
    • Nijmegen
    • Platforms
    • Radboud
    • University
    • Available
    • Files
    • Native
  • programming language
    • Compiling
    • Abc
    • Icl
    • Nijmegen
    • Platforms
    • Radboud
    • Researchers
    • Syntax
    • University
    • Converted
    • Core
    • Intermediate
  • the computer language benchmarks game
    • Compiling
    • Abc
    • Icl
    • Nijmegen
    • Platforms
    • Radboud
    • Researchers
    • Syntax
    • University
    • Converted
    • Core
    • Intermediate
  • radboud university
    • Group
    • Nijmegen
    • Radboud
    • University
    • Compiling
    • Functional
    • Icl
    • Platforms
    • Researchers
    • Since
    • Syntax
    • Haskell

Connections between topic areas Semantic bridges

For Clean (programming language), one of the stronger structural bridges in this analysis connects Clean (programming language) with Features. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Clean (programming language) — Features · splits 38 ⟂ 17
Clean (programming language) — Compiling · splits 44 ⟂ 11
Clean (programming language) — Platforms · splits 48 ⟂ 7
Clean (programming language) — Examples · splits 49 ⟂ 6
Clean (programming language) — How Clean works · splits 49 ⟂ 6
Clean (programming language) — Overview · splits 50 ⟂ 5

Map overview Semantic statistics

Clean (programming language)

Nodes55
Edges54
Triples11
Avg. degree1.96
Density0.036364
Components1

Source & methodology

TTTA analyzes the structure around Clean (programming language) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Features & Compiling, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Clean (programming language) · EN edition · Analysis: TopicsToTalkAbout

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