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Weighted Micro Function Points: Measurement & Science

Weighted Micro Function Points (WMFP) is a modern software sizing algorithm which is a successor to solid ancestor scientific methods as COCOMO, COSYSMO, maintainability index, cyclomatic complexity, function points, and Halstead complexity. It produces more accurate results than traditional software sizing methodologies, while requiring less…

Language: English [EN]
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Weighted Micro Function Points topic overview

The analysis highlights Measurement and Science as prominent areas in the source structure around Weighted Micro Function Points. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.

Related topics
13
Source areas
2
Connected nodes
16
Extracted relationships
6
Concept neighborhoods
14
Bridge connections
16

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 · 11 topics
Measured elements · 3 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.

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

Measured elements

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 Weighted Micro Function Points connects Entity context

See recurring relationship patterns around Weighted Micro Function Points before inspecting the individual extracted relationships.

Important terminology

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

Important terminology

software wmfp elements sizing source code algorithm complexity cocomo function effort score analysis micro ancestor methods methodologies measurement measured also

Weighted Micro Function Points relationships Subject–Predicate–Object triples

TTTA extracted 6 structured relationships around Weighted Micro Function Points. Examples in this analysis include separating code into classes → instance of → Measures the amount of effort spent on the program structure and COCOMO → instance of → when compared to traditional sizing models. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
separating code into classesinstance ofMeasures the amount of effort spent on the program structure0.80text
functions Inline datainstance ofMeasures the amount of effort spent on the program structure0.80text
COCOMOinstance ofwhen compared to traditional sizing models0.80text
are more complex to a degree that they cannot realistically be evaluated by handinstance ofwhen compared to traditional sizing models0.80text
even on smaller projectsinstance ofwhen compared to traditional sizing models0.80text
and require a software to analyze the source codeinstance ofwhen compared to traditional sizing models0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Weighted Micro Function Points bring nearby vocabulary together. In this analysis, examples include Ancestor, Methods and Complexity. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Weighted Micro Function Points
    • Ancestor
    • Methods
    • Complexity
    • Cosysmo
    • Cyclomatic
    • Halstead
    • Measurement
    • Metrics
    • Points
    • Several
    • Successor
    • Uses
  • weighted micro function points
    • Ancestor
    • Methods
    • Complexity
    • Cyclomatic
    • Halstead
    • Points
    • Sizing
    • Algorithm
    • Cosysmo
    • Measurement
    • Metrics
    • Several
  • software metrics
    • Several
    • Wmfp
    • Code
    • Sizing
    • Source
    • Elements
    • Also
    • Measured
    • Micro
    • Uses
    • Measurement
    • Methodologies
  • software sizing
    • Wmfp
    • Code
    • Sizing
    • Software
    • Source
    • Traditional
    • Elements
    • Also
    • Measurement
    • Methodologies
    • Metrics
    • Several
  • source lines of code
    • Source
    • Software
    • Metrics
    • Several
    • Traditional
    • Wmfp
    • Elements
    • Sizing
    • Also
    • Basic
    • Measured
    • Measurement
  • software development life cycle
    • Wmfp
    • Code
    • Sizing
    • Source
    • Elements
    • Also
    • Measurement
    • Methodologies
    • Metrics
    • Several
    • Traditional
    • Analysis
  • cocomo
    • Basic
    • Cosysmo
    • Successor
    • Sizing
    • Wmfp
    • Appw
    • Average
    • Cyclomatic
    • Halstead
    • Methods
    • Micro
    • Points
  • cyclomatic complexity
    • Halstead
    • Points
    • Complexity
    • Cyclomatic
    • Function
    • Methods
    • Micro
    • Sizing
    • Software
    • Successor
    • Wmfp
    • Cosysmo

Connections between topic areas Semantic bridges

For Weighted Micro Function Points, one of the stronger structural bridges in this analysis connects Weighted Micro Function Points 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
Weighted Micro Function PointsOverview · splits 5 ⟂ 12
Weighted Micro Function PointsMeasured elements · splits 13 ⟂ 4

Map overview Semantic statistics

Weighted Micro Function Points

Nodes17
Edges16
Triples6
Avg. degree1.88
Density0.117647
Components1

Source & methodology

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

Source: Wikipedia — Weighted Micro Function Points · EN edition · Analysis: TopicsToTalkAbout

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