aws-samples / aws-waf-anomaly-detection
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 3 units with 196 lines of code in units (77.2% 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 (137 lines of code)
    • 2 very simple units (59 lines of code)
0% | 0% | 0% | 69% | 30%
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% | 69% | 30%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
waf_lookout0% | 0% | 0% | 100% | 0%
lookout_alarm0% | 0% | 0% | 0% | 100%
cloudwatch_zero0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 3 most complex units
Unit# linesMcCabe index# params
def __init__()
in waf_lookout/waf_lookout_stack.py
 137 6 4
def lambda_handler()
in lookout_alarm/detect.py
 36 1 2
def lambda_handler()
in cloudwatch_zero/handler.py
 23 1 2