bazelbuild / rules_foreign_cc
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 4 units with 140 lines of code in units (1.5% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (67 lines of code)
    • 1 simple units (61 lines of code)
    • 2 very simple units (12 lines of code)
0% | 0% | 47% | 43% | 8%
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% | 47% | 43% | 8%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
toolchains0% | 0% | 47% | 43% | 8%
Most Complex Units
Top 4 most complex units
Unit# linesMcCabe index# params
def get_cmake_definitions()
in toolchains/prebuilt_toolchains.py
 67 16 0
def get_ninja_definitions()
in toolchains/prebuilt_toolchains.py
 61 10 0
def get_make_definitions()
in toolchains/prebuilt_toolchains.py
 4 1 0
def main()
in toolchains/prebuilt_toolchains.py
 8 1 0