aws-samples / aws-codebuild-webhooks
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

Intro
  • Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
  • Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
  • Conditional complexity is measured at the unit level (methods, functions...).
  • Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).
Learn more...
Conditional Complexity Overall
  • There are 5 units with 71 lines of code in units (47.3% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 0 medium complex units (0 lines of code)
    • 1 simple units (40 lines of code)
    • 4 very simple units (31 lines of code)
0% | 0% | 0% | 56% | 43%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
py0% | 0% | 0% | 56% | 43%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
lambdas0% | 0% | 0% | 56% | 43%
Most Complex Units
Top 5 most complex units
Unit# linesMcCabe index# params
def lambda_handler()
in lambdas/index.py
 40 8 2
def invoke_webhook()
in lambdas/index.py
 13 3 3
def compile_template()
in lambdas/index.py
 7 3 2
def get_hooks_for_project()
in lambdas/index.py
 5 1 1
def get_ssm_param()
in lambdas/index.py
 6 1 1