Impact Analysis

Understand how changes affect your codebase

Impact Analysis

Impact Analysis helps you understand what will be affected when you change a file.


What is impact?

In any codebase, files are connected through dependencies.

If you modify one file, the effect can spread to others.

Impact analysis answers:

“If I change this file, what else breaks?”


Why this matters

Without impact analysis:

  • You guess what might break
  • You miss hidden dependencies
  • Refactoring becomes risky

With impact analysis:

  • You see affected files instantly
  • You make safer changes
  • You avoid unexpected bugs

How Code Analyzer calculates impact

During analysis, the tool:

  1. Builds a dependency graph
  2. Tracks how files depend on each other
  3. Traverses the graph to find affected nodes

When you select a file, it computes all files that depend on it.


In the dashboard

When you click a file, you will see:

  • A list of impacted files
  • Highlighted paths in the graph
  • Direction of impact (what depends on what)

Example

If your structure is:

  • A depends on B
  • B depends on C

If you change C:

  • B is affected
  • A is also affected

So the impact of C includes both B and A.


What to look for

Focus on:

  • Files with large impact radius
  • Core modules affecting many others
  • Unexpected dependencies

These indicate critical parts of your system.


When to use impact analysis

  • Before refactoring a file
  • When debugging unexpected behavior
  • When working in unfamiliar codebases

Best practice

Before making changes:

  1. Select the file in the dashboard
  2. Check its impact
  3. Review affected modules

This reduces the risk of breaking your system.


Common use cases

  • Safe refactoring
  • Dependency tracking
  • Risk assessment before changes

Next step

Explore CLI commands and advanced usage →

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