aws-samples / observability-driven-development
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 84 lines of code in units (10.7% 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 (34 lines of code)
    • 4 very simple units (50 lines of code)
0% | 0% | 0% | 40% | 59%
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
js0% | 0% | 0% | 100% | 0%
py0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
src/lib/logging0% | 0% | 0% | 100% | 0%
src/handlers0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 5 most complex units
Unit# linesMcCabe index# params
Dimensions: buildDimensions()
in src/lib/logging/logger.js
 34 9 2
def lambda_handler()
in src/handlers/ODDC9BootstrapInstance.py
 24 5 2
def lambda_handler()
in src/handlers/customWidgetDashboard.py
 13 3 2
def create_name()
in locust-script.py
 2 1 1
def index()
in locust-script.py
 11 1 1