aws-samples / amazon-sagemaker-ab-testing-pipeline
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 48 units with 542 lines of code in units (23.8% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 3 medium complex units (165 lines of code)
    • 2 simple units (85 lines of code)
    • 43 very simple units (292 lines of code)
0% | 0% | 30% | 15% | 53%
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% | 30% | 15% | 53%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
lambda/api0% | 0% | 34% | 17% | 47%
deployment_pipeline/infra0% | 0% | 0% | 0% | 100%
infra0% | 0% | 0% | 0% | 100%
notebook0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def get_user_variant()
in lambda/api/lambda_invoke.py
40 18 2
def lambda_handler()
in lambda/api/lambda_invoke.py
70 18 2
def lambda_handler()
in lambda/api/lambda_register.py
55 14 2
def update_variant_metrics()
in lambda/api/experiment_metrics.py
65 10 3
def lambda_handler()
in lambda/api/lambda_metrics.py
20 6 2
def get_variant_metrics()
in lambda/api/experiment_metrics.py
29 4 2
def log_metrics()
in lambda/api/experiment_metrics.py
10 4 2
def __init__()
in lambda/api/algorithm.py
7 4 3
def select_variant()
in lambda/api/algorithm.py
4 3 1
def select_variant()
in lambda/api/algorithm.py
10 3 1
def select_variant()
in lambda/api/algorithm.py
11 3 1
def get_metrics()
in lambda/api/lambda_metrics.py
14 3 1
def update_metrics()
in lambda/api/lambda_metrics.py
2 3 1
def get_assignment()
in lambda/api/experiment_assignment.py
12 2 3
def __init__()
in lambda/api/algorithm.py
4 2 2
def __init__()
in lambda/api/algorithm.py
4 2 2
def __init__()
in lambda/api/algorithm.py
4 2 2
def select_variant()
in lambda/api/algorithm.py
8 2 1
def get_endpoint_variants()
in lambda/api/lambda_register.py
12 2 1
def handle_register()
in lambda/api/lambda_register.py
19 2 4