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Maintainability index

As explained in AI-Powered Developer: Build software with ChatGPT and Copilot

The maintainability index is a composite software metric combining factors such as cyclomatic complexity, lines of code, and Halstead measures to estimate maintainability.

The maintainability index is a composite software metric combining cyclomatic complexity, lines of code, and Halstead complexity measures to estimate how easily code can be maintained. Higher values suggest easier maintenance and potentially lower complexity. section 6.2 section 6.7

Assessing a visitor class with Copilot

Ask Copilot to determine the maintainability index of the visitor file, then interpret the result. A representative exchange reports an index of 100 and identifies a high value as preferable because it indicates easier maintenance. If the result is low, use it as a concrete prompt for refactoring. section 6.2

Use the metric to turn code-quality discussion into an actionable assessment:

  • Examine cyclomatic complexity, which measures independent paths through a software module. section 6.7
  • Consider Halstead measures, which use operators and operands to describe code size and cognitive complexity. section 6.2
  • Treat the resulting value as actionable data: a low index can motivate refactoring rather than relying only on aesthetics or personal judgment. section 6.2

How AI-Powered Developer: Build software with ChatGPT and Copilot covers it

How deep it goes
Defines the component measures and interprets higher values, but does not provide a calculation formula or detailed refactoring procedure.
Examples
Applies the metric to the Department-StatisticsVisitor class and reports a maintainability index of 100.
What you can do after
Evaluate code maintainability with Copilot and use a low result as a prompt for refactoring.
How it connects
Connects maintainability index with cyclomatic complexity, lines of code, Halstead measures, software maintainability, and refactoring.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of AI-Powered Developer: Build software with ChatGPT and Copilot. The section links point to the parts of the book it draws on.