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CompCert: Measurement & Overview

CompCert is a formally verified optimizing compiler for a large subset of a dialect of the programming language C, named C99 and known as Clight. As of 2018, CompCert supports the processor architectures ARM, PowerPC, RISC-V, x86, and x86-64. The project, led by Xavier Leroy, began officially in 2005, funded by the French institutes Agence nationale de…

Language: English [EN]
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CompCert topic overview

The analysis highlights Measurement and Overview as prominent areas in the source structure around CompCert.

Related topics
22
Source areas
1
Connected nodes
23
Extracted relationships
10
Related term clusters
21
Bridge connections
23

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.

Overview · 22 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.

Developer
AbsInt
License
free for noncommercial use
Original authors
Xavier Leroy, Sandrine Blazy
Release
2005; 21 years ago (2005)
Repository
github.com/AbsInt/CompCert
Stable release
3.17 / 13 February 2026

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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

For the semantics nerds

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Advanced semantic analysis

How CompCert connects Entity context

The extracted context around CompCert shows recurring relationship patterns in the source. For example, CompCert → AbsInt Another extracted example is CompCert → free for noncommercial use. Use these groups to spot repeated connection types before inspecting the individual relationships.

CompCert

Top relations

Developer · 1
CompCert → AbsInt
License · 1
CompCert → free for noncommercial use
Original authors · 1
CompCert → Xavier Leroy, Sandrine Blazy
Release · 1
CompCert → 2005; 21 years ago (2005)
Repository · 1
CompCert → github.com/AbsInt/CompCert
Stable release · 1
CompCert → 3.17 / 13 February 2026
Type · 1
CompCert → Compiler
Website · 1
CompCert → compcert.org/compcert-C.html
Written in · 1
CompCert → Rocq
is a · 1
CompCert → formally verified optimizing compiler for a large subset of a dialect of the programming language C

Important terminology

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

Important terminology

compiler software xavier leroy rocq absint optimizing named architectures proof gnu version commercial licenses 2005 noncommercial license free acm system

CompCert relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around CompCert. Examples in this analysis include CompCert → Developer → AbsInt and CompCert → License → free for noncommercial use. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
CompCertDeveloperAbsInt1.00infobox
CompCertLicensefree for noncommercial use1.00infobox
CompCertOriginal authorsXavier Leroy, Sandrine Blazy1.00infobox
CompCertRelease2005; 21 years ago (2005)1.00infobox
CompCertRepositorygithub.com/AbsInt/CompCert1.00infobox
CompCertStable release3.17 / 13 February 20261.00infobox
CompCertTypeCompiler1.00infobox
CompCertWebsitecompcert.org/compcert-C.html1.00infobox
CompCertWritten inRocq1.00infobox
CompCertis aformally verified optimizing compiler for a large subset of a dialect of the programming language C0.90text

Related concept clusters Related term clusters

The concept neighborhoods around CompCert bring nearby vocabulary together. In this analysis, examples include Software, Compiler and Acm. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • CompCert
    • Software
    • Compiler
    • Acm
    • Architectures
    • Award
    • Free
    • License
    • Noncommercial
    • Optimizing
    • System
    • Leroy
    • Xavier
  • compcert
    • Software
    • Compiler
    • Acm
    • Architectures
    • Award
    • Free
    • License
    • Noncommercial
    • Optimizing
    • System
    • Leroy
    • Xavier
  • optimizing compiler
    • Known
    • Language
    • Large
    • Programming
    • Software
    • Subset
    • Verified
    • Acm
    • Award
    • Named
    • Optimizing
    • Proof
  • gnu compiler collection
    • Version
    • Dual-licensed
    • Software
    • Acm
    • Award
    • Named
    • Optimizing
    • Proof
    • Rocq
    • System
    • Free
    • Leroy
  • xavier leroy
    • Leroy
    • Xavier
    • Acm
    • Award
    • System
    • Software
    • Compiler
    • Github
    • Website
    • Compcert
    • Absint
    • Architectures
  • acm software system award
    • Award
    • System
    • Leroy
    • Xavier
    • Acm
    • Github
    • Software
    • Website
    • Compiler
    • Architectures
    • Commercial
    • Compcert
  • processor architectures
    • Arm
    • Powerpc
    • Risc-v
    • X86
    • X86-64
    • Acm
    • Award
    • Commercial
    • Compcert
    • Optimizing
    • Proof
    • System
  • absint
    • Github
    • Website
    • Acm
    • Award
    • Commercial
    • Free
    • License
    • Licenses
    • Noncommercial
    • Rocq
    • System
    • Leroy

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the CompCert map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

CompCert

Nodes24
Edges23
Triples10
Avg. degree1.92
Density0.083333
Components1

Source & methodology

TTTA analyzes the structure around CompCert to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — CompCert · EN edition · Analysis: TopicsToTalkAbout

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