openai / openai-security-bots
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 86 units with 577 lines of code in units (26.7% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (16 lines of code)
    • 7 simple units (157 lines of code)
    • 78 very simple units (404 lines of code)
0% | 0% | 2% | 27% | 70%
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% | 2% | 27% | 70%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
bots0% | 0% | 3% | 27% | 69%
shared0% | 0% | 0% | 25% | 75%
Most Complex Units
Top 50 most complex units
Unit# linesMcCabe index# params
16 11 0
44 9 0
17 9 1
14 9 2
18 8 1
26 7 1
25 6 1
13 6 2
13 5 3
11 5 1
12 4 3
7 4 1
6 4 2
8 4 1
4 3 1
3 3 1
10 3 1
8 3 1
3 3 1
6 3 2
8 3 1
20 3 1
12 3 3
4 3 1
7 3 2
2 3 2
5 3 2
4 2 1
5 2 0
5 2 1
9 2 3
10 2 1
5 2 0
6 2 1
3 2 2
2 2 1
2 2 2
5 2 1
4 2 1
17 2 1
5 2 0
5 2 2
2 2 2
2 1 1
5 1 1
8 1 1
4 1 3
2 1 1
2 1 3
12 1 1