aws-samples / aws-auto-inventory
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 9 units with 137 lines of code in units (3.6% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (19 lines of code)
    • 1 simple units (21 lines of code)
    • 7 very simple units (97 lines of code)
0% | 0% | 13% | 15% | 70%
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% | 13% | 15% | 70%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
aai0% | 0% | 13% | 15% | 70%
Most Complex Units
Top 9 most complex units
Unit# linesMcCabe index# params
def flatten()
in aai/converter.py
 19 11 2
def write_data()
in aai/doc.py
 21 6 3
def fetch()
in aai/aws.py
 26 5 6
def Execute()
in aai/run.py
 23 4 1
def get_inventory()
in aai/settings.py
 12 4 1
def flatten_list()
in aai/converter.py
 6 3 2
def __init__()
in aai/settings.py
 5 2 1
def get_inventory()
in aai/run.py
 4 1 3
def get()
in aai/aws.py
 21 1 3