amazon-research / question-answering-nlu
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 10 units with 266 lines of code in units (73.7% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (131 lines of code)
    • 2 simple units (40 lines of code)
    • 6 very simple units (95 lines of code)
0% | 0% | 49% | 15% | 35%
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% | 49% | 15% | 35%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
ROOT0% | 0% | 49% | 15% | 35%
Most Complex Units
Top 10 most complex units
Unit# linesMcCabe index# params
def parse()
in atis.py
 89 24 4
def qanlu_rec_to_conll()
in calculate_pr.py
 42 12 2
def get_rec_intent()
in calculate_pr.py
 18 9 2
22 9 8
def main()
in atis.py
 22 5 1
17 5 1
def main()
in calculate_pr.py
 20 2 2
def load_tsv()
in atis.py
 13 2 1
def agg_data()
in atis.py
 9 2 2
14 2 1