awslabs / aws-lambda-ecs-run-task
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 198 lines of code in units (46.4% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (54 lines of code)
    • 2 simple units (105 lines of code)
    • 3 very simple units (39 lines of code)
0% | 0% | 27% | 53% | 19%
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% | 27% | 53% | 19%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
src0% | 0% | 27% | 53% | 19%
Most Complex Units
Top 6 most complex units
Unit# linesMcCabe index# params
54 11 1
def retry()
in src/helper.py
 42 9 4
def lambda_handler()
in src/main.py
 63 6 2
def send_failure_email()
in src/helper.py
 23 2 2
def ecs_run_task()
in src/helper.py
 8 2 1
8 1 1