openai / openai-structured-outputs-samples
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).
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Conditional Complexity Overall
  • There are 28 units with 515 lines of code in units (11.1% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (118 lines of code)
    • 2 simple units (91 lines of code)
    • 25 very simple units (306 lines of code)
0% | 0% | 22% | 17% | 59%
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% | 0% | 26% | 20% | 53%
tsx0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
conversational-assistant0% | 0% | 41% | 16% | 42%
generative-ui0% | 0% | 0% | 35% | 64%
resume-extraction0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 28 most complex units
Unit# linesMcCabe index# params
118 20 3
46 9 1
45 9 1
34 4 1
24 2 1
20 2 1
20 2 1
12 2 0
15 2 1
12 2 0
2 2 0
7 2 0
19 2 1
35 2 1
7 2 0
15 1 1
11 1 1
4 1 2
15 1 1
15 1 1
3 1 1
4 1 1
4 1 1
3 1 0
3 1 1
4 1 2
15 1 1
3 1 1