facebookresearch / Radlibrary
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 48 units with 497 lines of code in units (84.4% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (74 lines of code)
    • 2 simple units (75 lines of code)
    • 45 very simple units (348 lines of code)
0% | 0% | 14% | 15% | 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
R0% | 0% | 14% | 15% | 70%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
R0% | 0% | 14% | 15% | 70%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
74 17 4
45 7 1
30 7 0
27 5 3
31 4 3
17 4 0
graph_get <- function()
in R/graph_api.R
16 3 3
ad_row <- function()
in R/ad_data.R
23 3 1
12 3 1
7 3 0
7 2 1
20 2 1
na_pad <- function()
in R/ad_data.R
6 2 1
8 2 1
8 2 1
9 2 1
8 2 1
7 2 3
7 2 0
8 2 0