microsoft / SkillsExtractorCognitiveSearch
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 7 units with 129 lines of code in units (5.2% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (82 lines of code)
    • 0 simple units (0 lines of code)
    • 5 very simple units (47 lines of code)
0% | 0% | 63% | 0% | 36%
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% | 63% | 0% | 36%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
services0% | 0% | 72% | 0% | 27%
get_skill0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 7 most complex units
Unit# linesMcCabe index# params
def _build_patterns()
in services/skills.py
 39 13 3
def extract_skills()
in services/skills.py
 43 13 2
def _skill_pattern()
in services/skills.py
 13 5 3
def main()
in get_skill/__init__.py
 16 3 1
def __init__()
in services/skills.py
 10 2 3
def _get_skills()
in services/skills.py
 4 1 1
def _get_extra_skill_patterns()
in services/skills.py
 4 1 1