openai / openai-testing-agent-demo
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 33 units with 1,027 lines of code in units (43.0% of code).
    • 0 very complex units (0 lines of code)
    • 1 complex units (117 lines of code)
    • 2 medium complex units (324 lines of code)
    • 2 simple units (165 lines of code)
    • 28 very simple units (421 lines of code)
0% | 11% | 31% | 16% | 40%
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
ts0% | 12% | 34% | 12% | 40%
tsx0% | 0% | 0% | 51% | 48%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
cua-server0% | 12% | 35% | 12% | 38%
frontend0% | 0% | 0% | 41% | 58%
Most Complex Units
Top 33 most complex units
Unit# linesMcCabe index# params
117 29 2
142 21 2
182 20 5
50 7 0
115 7 8
38 5 2
18 4 2
18 4 0
17 3 1
15 3 2
8 3 1
11 2 8
25 2 2
21 2 3
17 2 1
7 2 1
69 2 1
32 1 0
6 1 1
3 1 1
3 1 1
3 1 1
3 1 1
3 1 1
45 1 2
5 1 1
2 1 0
4 1 0
15 1 2
3 1 1
15 1 1
6 1 0
9 1 2