openai / openai-imagegen-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 26 units with 499 lines of code in units (25.7% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 3 medium complex units (222 lines of code)
    • 2 simple units (54 lines of code)
    • 21 very simple units (223 lines of code)
0% | 0% | 44% | 10% | 44%
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% | 31% | 14% | 54%
tsx0% | 0% | 86% | 0% | 13%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
app0% | 0% | 47% | 4% | 47%
ROOT0% | 0% | 0% | 100% | 0%
lib0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 26 most complex units
Unit# linesMcCabe index# params
99 18 0
64 13 5
59 11 2
21 10 3
33 9 1
11 5 2
27 5 3
48 5 1
8 4 2
2 4 1
7 3 1
6 3 1
7 3 4
6 3 3
16 2 1
8 2 4
11 2 2
8 2 5
3 1 1
15 1 2
4 1 4
4 1 4
4 1 4
15 1 2
4 1 0
9 1 0