openai / openai-cs-agents-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 42 units with 468 lines of code in units (17.4% of code).
    • 0 very complex units (0 lines of code)
    • 1 complex units (93 lines of code)
    • 2 medium complex units (40 lines of code)
    • 5 simple units (68 lines of code)
    • 34 very simple units (267 lines of code)
0% | 19% | 8% | 14% | 57%
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
tsx0% | 35% | 9% | 17% | 37%
py0% | 0% | 8% | 12% | 79%
ts0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
ui0% | 32% | 8% | 16% | 42%
python-backend0% | 0% | 8% | 12% | 79%
Most Complex Units
Top 42 most complex units
Unit# linesMcCabe index# params
93 26 1
15 14 2
25 12 1
11 8 1
11 7 1
11 7 1
12 6 1
23 6 1
14 5 1
9 4 1
14 4 1
17 4 0
10 4 2
6 4 3
10 3 1
10 3 0
9 3 1
7 3 1
8 3 1
4 3 2
3 2 0
3 2 3
41 2 1
34 2 6
9 2 2
4 2 2
3 1 1
3 1 1
3 1 1
2 1 4
3 1 0
2 1 0
2 1 0
2 1 0
2 1 0
2 1 0
10 1 1
7 1 1
5 1 0
5 1 0
2 1 2
2 1 3