aws-samples / sagemaker-ml-workflow-with-apache-airflow
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 168 lines of code in units (11.2% 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 (55 lines of code)
    • 6 very simple units (113 lines of code)
0% | 0% | 0% | 32% | 67%
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% | 32% | 67%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
src/pipeline0% | 0% | 0% | 35% | 64%
src0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 7 most complex units
Unit# linesMcCabe index# params
def prepare()
in src/pipeline/prepare.py
 55 6 6
def is_hpo_enabled()
in src/dag_ml_pipeline_amazon_video_reviews.py
 8 4 0
def preprocess()
in src/pipeline/preprocess.py
 73 3 5
def convert_sparse_matrix()
in src/pipeline/prepare.py
 17 3 4
def chunk()
in src/pipeline/prepare.py
 4 2 2
def save_as_protobuf()
in src/pipeline/prepare.py
 7 1 4
def get_sagemaker_role_arn()
in src/dag_ml_pipeline_amazon_video_reviews.py
 4 1 2