aws-samples / aws-dms-deployment-using-aws-cdk
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 7 units with 245 lines of code in units (72.7% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 3 medium complex units (184 lines of code)
    • 0 simple units (0 lines of code)
    • 4 very simple units (61 lines of code)
0% | 0% | 75% | 0% | 24%
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% | 75% | 0% | 24%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
dms_cdk0% | 0% | 64% | 0% | 35%
resources/adhoc_scripts0% | 0% | 100% | 0% | 0%
Most Complex Units
Top 7 most complex units
Unit# linesMcCabe index# params
def __init__()
in dms_cdk/dms_cdk_stack.py
 112 11 9
def main()
in resources/adhoc_scripts/Invoke_dms_tasks.py
 48 11 0
def main()
in resources/adhoc_scripts/create_secrets.py
 24 11 0
def __init__()
in dms_cdk/iam.py
 9 1 4
def __init__()
in dms_cdk/s3.py
 15 1 5
def __init__()
in dms_cdk/sns.py
 13 1 4
def __init__()
in dms_cdk/vpc.py
 24 1 4