awslabs / amazon-redshift-monitoring
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 265 lines of code in units (51.0% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 3 medium complex units (209 lines of code)
    • 0 simple units (0 lines of code)
    • 4 very simple units (56 lines of code)
0% | 0% | 78% | 0% | 21%
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% | 78% | 0% | 21%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
ROOT0% | 0% | 78% | 0% | 21%
Most Complex Units
Top 7 most complex units
Unit# linesMcCabe index# params
def gather_table_stats()
in redshift_monitoring.py
 72 16 2
def monitor_cluster()
in redshift_monitoring.py
 89 15 1
def run_external_commands()
in redshift_monitoring.py
 48 11 4
def get_config_value()
in redshift_monitoring.py
 8 5 2
def run_command()
in redshift_monitoring.py
 7 2 2
def gather_service_class_stats()
in redshift_monitoring.py
 37 2 2
def lambda_handler()
in lambda_function.py
 4 1 2