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In computer programming, a code smell is any characteristic of source code that hints at a deeper problem. Determining what a code smell is and is not is subjective, and varies by language, developer, and development methodology.
The analysis highlights Examples, Definition and Overview as prominent areas in the source structure around Code smell.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Code smell shows recurring relationship patterns in the source. For example, Code smell → Bad, Code, Contrary, Cunningham's, Instead, Martin, One, Robert, Smells Another extracted example is Code smell → driver for refactoring.Factors such as the understandability of code. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
code smells smell software term design problem refactoring indicate used also may computer programming source deeper development martin definition see
TTTA extracted 20 structured relationships around Code smell. Examples in this analysis include Code smell → is a → driver for refactoring.Factors such as the understandability of code and the understandability of code → instance of → a code smell is a driver for refactoring.Factors. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Code smell | is a | driver for refactoring.Factors such as the understandability of code | 0.90 | text |
| the understandability of code | instance of | a code smell is a driver for refactoring.Factors | 0.80 | text |
| how easy it is to be modified | instance of | a code smell is a driver for refactoring.Factors | 0.80 | text |
| the ease in which it can be enhanced to support functional changes | instance of | a code smell is a driver for refactoring.Factors | 0.80 | text |
| the code's ability to be reused in different settings | instance of | a code smell is a driver for refactoring.Factors | 0.80 | text |
| how testable the code is | instance of | a code smell is a driver for refactoring.Factors | 0.80 | text |
| and code reliability are factors that can be used to identify code smells.A 2015 study utilizing automated analysis for half a million source code commits | instance of | a code smell is a driver for refactoring.Factors | 0.80 | text |
| the manual examination of 9 | instance of | a code smell is a driver for refactoring.Factors | 0.80 | text |
| 164 commits determined to exhibit | instance of | a code smell is a driver for refactoring.Factors | 0.80 | text |
| databases where possible | instance of | or other data stores | 0.80 | text |
| to facilitate localization of software if it is intended to be deployed in different regions | instance of | or other data stores | 0.80 | text |
| Code smell | related to Definition | One | 0.60 | section |
The concept neighborhoods around Code smell bring nearby vocabulary together. In this analysis, examples include Smells, Smell and May. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Code smell, one of the stronger structural bridges in this analysis connects Code smell 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.
TTTA analyzes the structure around Code smell to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Examples, Definition & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Code smell · EN edition · Analysis: TopicsToTalkAbout