aws-quickstart / quickstart-aws-dms-automation
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 6 units with 163 lines of code in units (5.9% 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 (49 lines of code)
    • 5 very simple units (114 lines of code)
0% | 0% | 0% | 30% | 69%
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% | 30% | 69%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
scripts0% | 0% | 0% | 30% | 69%
Most Complex Units
Top 6 most complex units
Unit# linesMcCabe index# params
def lambda_handler()
in scripts/CheckDmsReplicationStatus.py
 49 8 2
def lambda_handler()
in scripts/checkDmsEndpoints.py
 24 5 2
def lambda_handler()
in scripts/testConnection.py
 24 5 2
def dms_status()
in scripts/checkDmsEndpoints.py
 20 2 2
def result_pipeline()
in scripts/CheckDmsReplicationStatus.py
 15 1 1
def check_connection()
in scripts/testConnection.py
 31 1 2