aws-samples / amazon-sagemaker-monai-examples
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 9 units with 185 lines of code in units (78.1% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (122 lines of code)
    • 0 simple units (0 lines of code)
    • 8 very simple units (63 lines of code)
0% | 0% | 65% | 0% | 34%
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% | 65% | 0% | 34%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
source0% | 0% | 65% | 0% | 34%
Most Complex Units
Top 9 most complex units
Unit# linesMcCabe index# params
def train()
in source/monai_skin_cancer.py
122 22 1
def _get_train_data_loader()
in source/monai_skin_cancer.py
16 2 5
def test()
in source/monai_skin_cancer.py
15 2 3
def model_fn()
in source/monai_skin_cancer.py
10 2 1
def __init__()
in source/skin_cancer_dataset.py
4 1 4
def __len__()
in source/skin_cancer_dataset.py
2 1 1
def __getitem__()
in source/skin_cancer_dataset.py
2 1 2
def _get_test_data_loader()
in source/monai_skin_cancer.py
10 1 4
def save_model()
in source/monai_skin_cancer.py
4 1 2