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Anti-pattern: Technology & Products
An anti-pattern is any common but counterproductive solution to some class of problem. The term, coined in 1995 by Andrew Koenig, was inspired by the book Design Patterns which highlights reliable and effective software development design patterns. Michael Ackroyd described anti-patterns in a paper presented at the 1996 Object World West Conference. The…
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Anti-pattern topic overview
The analysis highlights Technology and Products as prominent areas in the source structure around Anti-pattern.
Related topics
16
Source areas
2
Connected nodes
18
Extracted relationships
67
Concept neighborhoods
9
Bridge connections
18
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.
Examples · 11 topics
Overview · 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.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Anti-pattern connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Anti-pattern shows recurring relationship patterns in the source. For example, Anti-pattern → An, Andrew, Anti-Patterns, Antipatterns, April, Auerbach Publications, Brown, Cambridge, Cambridge University Press, Colin, Hays, Hudson, Identification, Ioannis, ISBN, January, John Wiley, Journal, Koenig, Laplante Another extracted example is Anti-pattern → Capability Immaturity ModelCode, Characteristic, Christensen, Clayton, Deceptive, Degradation, Engineering, Guidelines, IEC, Innovator's Dilemma, List, Peter, Software Life Cycle Profiles, Term, Very Small Entities, VSEs. Use these groups to spot repeated connection types before inspecting the individual relationships.
Anti-pattern
Top relations
related to Further reading· 43
Anti-pattern → An, Andrew, Anti-Patterns, Antipatterns, April, Auerbach Publications, Brown, Cambridge, Cambridge University Press, Colin, Hays, Hudson, Identification, Ioannis, ISBN, January, John Wiley, Journal, Koenig, Laplante
see also· 16
Anti-pattern → Capability Immaturity ModelCode, Characteristic, Christensen, Clayton, Deceptive, Degradation, Engineering, Guidelines, IEC, Innovator's Dilemma, List, Peter, Software Life Cycle Profiles, Term, Very Small Entities, VSEs
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 67 structured relationships around Anti-pattern. Examples in this analysis include Anti-pattern → related to External links → Wiktionary-logo-en-v2 and Anti-pattern → related to External links → Media. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Anti-pattern
related to External links
Wiktionary-logo-en-v2
0.60
section
Anti-pattern
related to External links
Media
0.60
section
Anti-pattern
related to External links
Anti-patterns
0.60
section
Anti-pattern
related to External links
Wikimedia Commons Anti-pattern
0.60
section
Anti-pattern
related to External links
WikiWikiWeb
0.60
section
Anti-pattern
related to Further reading
Koenig
0.60
section
Anti-pattern
related to Further reading
Andrew
0.60
section
Anti-pattern
related to Further reading
March
0.60
section
Anti-pattern
related to Further reading
April
0.60
section
Anti-pattern
related to Further reading
Patterns
0.60
section
Anti-pattern
related to Further reading
Antipatterns
0.60
section
Anti-pattern
related to Further reading
Journal
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Anti-pattern bring nearby vocabulary together. In this analysis, examples include Problem, Class and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
design patterns
Development
Include
Term
Software
Antipatterns
Project
Applications
Engineering
Handbook
Management
Strategies
Techniques
software development
Term
Engineering
Project
Management
Development
Include
Software
Also
Dark
Koenig
Programming
Antipatterns
antipatterns
Include
Management
Book
Design
Project
Software
Engineering
Also
Dark
Development
Extended
Idea
software system
Project
Management
Development
Include
Term
Antipatterns
Engineering
Anti-patterns
Also
Dark
Extended
Idea
software entropy
Project
Management
Development
Include
Term
Antipatterns
Engineering
Anti-patterns
Also
Dark
Extended
Idea
Anti-pattern
Problem
Class
Also
Dark
Idea
Effective
Solution
Pattern
Patterns
Anti-patterns
anti-pattern
Problem
Class
Also
Dark
Idea
Effective
Solution
Pattern
Patterns
Anti-patterns
andrew koenig
Koenig
Development
Patterns
Term
Book
Design
Effective
Antipatterns
Software
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Anti-pattern, one of the stronger structural bridges in this analysis connects Anti-pattern with Examples. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Anti-pattern
Nodes19
Edges18
Triples67
Avg. degree1.89
Density0.105263
Components1
Source & methodology
TTTA analyzes the structure around Anti-pattern to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
