aws-samples / jenkins-on-aws
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 5 units with 299 lines of code in units (74.9% 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)
    • 2 simple units (237 lines of code)
    • 3 very simple units (62 lines of code)
0% | 0% | 0% | 79% | 20%
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% | 79% | 20%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
cdk/jenkins0% | 0% | 0% | 83% | 16%
cdk/docker/leader0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 5 most complex units
Unit# linesMcCabe index# params
def __init__()
in cdk/jenkins/jenkins_leader.py
 204 10 7
def __init__()
in cdk/jenkins/jenkins_worker.py
 33 8 6
def __init__()
in cdk/jenkins/ecs.py
 40 4 6
def __init__()
in cdk/jenkins/network.py
 6 1 4
def main()
in cdk/docker/leader/modify_casc.py
 16 1 0