aws-samples / use-influxdb-and-grafana-to-visualize-ml-output-with-awsiot-greengrass-v2
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 145 lines of code in units (52.9% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 0 medium complex units (0 lines of code)
    • 0 simple units (0 lines of code)
    • 10 very simple units (145 lines of code)
0% | 0% | 0% | 0% | 100%
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% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
edge-inference/src0% | 0% | 0% | 0% | 100%
influxdb-subscriber/src0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 10 most complex units
Unit# linesMcCabe index# params
def main()
in modules/edge-inference/src/inference.py
 46 3 0
def main()
in modules/influxdb-subscriber/src/main.py
 34 3 0
def write_data()
in modules/influxdb-subscriber/src/data2influxdb_v2test.py
 14 3 6
def load_class_names()
in modules/edge-inference/src/inference.py
 8 2 1
def publishResults()
in modules/edge-inference/src/inference.py
 21 2 3
def softmax()
in modules/edge-inference/src/inference.py
 3 1 1
def __init__()
in modules/influxdb-subscriber/src/main.py
 7 1 6
def on_stream_event()
in modules/influxdb-subscriber/src/main.py
 8 1 2
def on_stream_error()
in modules/influxdb-subscriber/src/main.py
 2 1 2
def on_stream_closed()
in modules/influxdb-subscriber/src/main.py
 2 1 1