Research any topic before you write.

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

FindBugs: SpotBugs & Overview

FindBugs is an open-source static code analyzer created by Bill Pugh and David Hovemeyer which detects possible bugs in Java programs, continued as SpotBugs. Potential errors are classified in four ranks: (i) scariest, (ii) scary, (iii) troubling and (iv) of concern. This is a hint to the developer about their possible impact or severity.. FindBugs…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

FindBugs topic overview

The analysis highlights SpotBugs and Overview as prominent areas in the source structure around FindBugs.

Related topics
19
Source areas
2
Connected nodes
21
Extracted relationships
25
Concept neighborhoods
20
Bridge connections
21

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 · 14 topics
SpotBugs · 5 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.

Developers
Bill Pugh and David Hovemeyer
License
GNU Lesser General Public License
Operating system
Cross-platform
Release
10 June 2006; 20 years ago (2006-06-10)
Repository
github.com/findbugsproject/findbugs
Stable release
3.0.1 / March 6, 2015; 11 years ago (2015-03-06)

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

SpotBugs

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 FindBugs connects Entity context

The extracted context around FindBugs shows recurring relationship patterns in the source. For example, FindBugs → Andrey Loskutov, In, Java, Java Platform Module System, LTS, On September, SpotBugs Another extracted example is FindBugs → FindBugsFindBugs-IDEA, FindBugsFindSecurityBugs, IntelliJ IDEA, Official, The FindBugs Plugin. Use these groups to spot repeated connection types before inspecting the individual relationships.

FindBugs

Top relations

related to SpotBugs · 7
FindBugs → Andrey Loskutov, In, Java, Java Platform Module System, LTS, On September, SpotBugs
related to External links · 5
FindBugs → FindBugsFindBugs-IDEA, FindBugsFindSecurityBugs, IntelliJ IDEA, Official, The FindBugs Plugin
Developers · 1
FindBugs → Bill Pugh and David Hovemeyer
License · 1
FindBugs → GNU Lesser General Public License
Operating system · 1
FindBugs → Cross-platform
Release · 1
FindBugs → 10 June 2006; 20 years ago (2006-06-10)
Repository · 1
FindBugs → github.com/findbugsproject/findbugs
Stable release · 1
FindBugs → 3.0.1 / March 6, 2015; 11 years ago (2015-03-06)
Type · 1
FindBugs → Static code analysis
Website · 1
FindBugs → findbugs.sourceforge.net

Important terminology

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

Important terminology

spotbugs java code also static intellij idea possible website bill pugh david hovemeyer eclipse gradle maven support community application plug-ins

FindBugs relationships Subject–Predicate–Object triples

TTTA extracted 25 structured relationships around FindBugs. Examples in this analysis include FindBugs → Developers → Bill Pugh and David Hovemeyer and FindBugs → License → GNU Lesser General Public License. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
FindBugsDevelopersBill Pugh and David Hovemeyer1.00infobox
FindBugsLicenseGNU Lesser General Public License1.00infobox
FindBugsOperating systemCross-platform1.00infobox
FindBugsRelease10 June 2006; 20 years ago (2006-06-10)1.00infobox
FindBugsRepositorygithub.com/findbugsproject/findbugs1.00infobox
FindBugsStable release3.0.1 / March 6, 2015; 11 years ago (2015-03-06)1.00infobox
FindBugsTypeStatic code analysis1.00infobox
FindBugsWebsitefindbugs.sourceforge.net1.00infobox
FindBugsWritten inJava1.00infobox
FindBugsis aopen-source static code analyzer created by Bill Pugh and David Hovemeyer which detects possible bugs in Java programs0.90text
sb-contribinstance ofSpotBugs also supports all of existing FindBugs plugins0.80text
find-security-bugsinstance ofSpotBugs also supports all of existing FindBugs plugins0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around FindBugs bring nearby vocabulary together. In this analysis, examples include Java, Code and Additional. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • FindBugs
    • Java
    • Code
    • Additional
    • Bill
    • David
    • Hovemeyer
    • Pugh
    • Spotbugs
    • Static
    • Community
    • Support
    • Also
  • findbugs
    • Java
    • Code
    • Additional
    • Bill
    • David
    • Hovemeyer
    • Pugh
    • Spotbugs
    • Static
    • Community
    • Support
    • Also
  • static code analyzer
    • Bill
    • David
    • Hovemeyer
    • Java
    • Pugh
    • Static
    • Findbugs
    • System
    • Website
    • Analysis
    • Open-source
    • Spotbugs
  • bill pugh
    • David
    • Hovemeyer
    • Pugh
    • Static
    • Analysis
    • Code
    • Open-source
    • Java
    • Additional
    • Applications
    • Bug
    • Findbugs
  • intellij idea
    • Idea
    • Intellij
    • Gradle
    • Maven
    • Plug-ins
    • Analysis
    • Bamboo
    • Hudson
    • Jenkins
    • Netbeans
    • Additional
    • Applications
  • code review
    • Bill
    • David
    • Hovemeyer
    • Java
    • Pugh
    • Static
    • Findbugs
    • Analysis
    • Open-source
    • Spotbugs
    • Additional
    • Applications
  • java
    • Community
    • Support
    • Andrey
    • Gave
    • Loskutov
    • Pugh
    • Static
    • System
    • Spotbugs
    • Analysis
    • Open-source
    • Additional
  • java bytecode
    • Community
    • Support
    • Andrey
    • Gave
    • Loskutov
    • Pugh
    • Static
    • System
    • Spotbugs
    • Analysis
    • Open-source
    • Additional

Connections between topic areas Semantic bridges

For FindBugs, one of the stronger structural bridges in this analysis connects FindBugs with Overview. 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
FindBugs — Overview · splits 7 ⟂ 15
FindBugs — SpotBugs · splits 16 ⟂ 6

Map overview Semantic statistics

FindBugs

Nodes22
Edges21
Triples25
Avg. degree1.91
Density0.090909
Components1

Source & methodology

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

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

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