aws-samples / amazon-cloudwatch-auto-alarms
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 11 units with 295 lines of code in units (28.1% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (87 lines of code)
    • 4 simple units (94 lines of code)
    • 5 very simple units (114 lines of code)
0% | 0% | 29% | 31% | 38%
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% | 29% | 31% | 38%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
src0% | 0% | 29% | 31% | 38%
Most Complex Units
Top 11 most complex units
Unit# linesMcCabe index# params
57 13 6
def determine_platform()
in src/actions.py
 30 11 1
def lambda_handler()
in src/cw_auto_alarms.py
 33 8 2
def process_alarm_tags()
in src/actions.py
 18 7 8
14 7 7
29 6 6
def check_alarm_tag()
in src/actions.py
 35 5 2
def delete_alarms()
in src/actions.py
 22 5 1
def create_alarm()
in src/actions.py
 30 4 9
def boto3_client()
in src/actions.py
 20 2 2
def convert_to_seconds()
in src/actions.py
 7 2 1