aws-samples / amazon-sagemaker-automated-feature-transformation
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 12 units with 169 lines of code in units (85.8% 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 (30 lines of code)
    • 11 very simple units (139 lines of code)
0% | 0% | 0% | 17% | 82%
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% | 17% | 82%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
ROOT0% | 0% | 0% | 17% | 82%
Most Complex Units
Top 12 most complex units
Unit# linesMcCabe index# params
def _run_query()
in pipeline_utils.py
 30 7 4
def _get_offline_details()
in pipeline_utils.py
 9 2 3
def create_lambda_fcn()
in pipeline_utils.py
 10 1 2
def allow_s3()
in pipeline_utils.py
 11 1 3
def add_permissions()
in pipeline_utils.py
 11 1 1
def create_role()
in pipeline_utils.py
 14 1 1
def create_lambda()
in pipeline_utils.py
 15 1 3
def add_notif()
in pipeline_utils.py
 30 1 3
def create_s3_trigger()
in pipeline_utils.py
 4 1 5
def describe_feature_group()
in pipeline_utils.py
 3 1 1
6 1 2
def get_container()
in pipeline_utils.py
 26 1 1