openai / openai-sora-sample-app
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 29 units with 692 lines of code in units (13.8% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (161 lines of code)
    • 7 simple units (296 lines of code)
    • 20 very simple units (235 lines of code)
0% | 0% | 23% | 42% | 33%
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% | 36% | 52% | 11%
tsx0% | 0% | 0% | 24% | 75%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
app0% | 0% | 30% | 65% | 4%
ROOT0% | 0% | 100% | 0% | 0%
components0% | 0% | 0% | 24% | 75%
lib0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 29 most complex units
Unit# linesMcCabe index# params
111 25 1
50 12 1
36 8 2
57 7 1
20 7 1
41 7 4
65 6 1
49 6 1
28 6 1
17 4 2
8 4 1
7 4 1
5 4 1
4 3 1
3 2 1
12 2 1
21 2 1
29 2 3
3 1 1
3 1 0
9 1 8
13 1 2
19 1 3
12 1 2
15 1 3
12 1 2
17 1 2
12 1 2
14 1 2