awslabs / cloudwatch-fluent-metrics
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 52 units with 348 lines of code in units (87.0% 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)
    • 1 simple units (21 lines of code)
    • 51 very simple units (327 lines of code)
0% | 0% | 0% | 6% | 93%
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% | 6% | 93%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
fluentmetrics0% | 0% | 0% | 6% | 93%
ROOT0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def flush()
in fluentmetrics/buffer.py
 21 6 2
def __init__()
in fluentmetrics/metric.py
 20 4 3
def without_dimension()
in fluentmetrics/metric.py
 6 4 2
def does_dimension_exist()
in fluentmetrics/metric.py
 6 4 2
def get_dimension_value()
in fluentmetrics/metric.py
 6 4 2
def push_dimensions()
in fluentmetrics/metric.py
 6 3 1
def _record_metric()
in fluentmetrics/buffer.py
 9 2 2
def _size()
in fluentmetrics/buffer.py
 2 2 1
def without_timer()
in fluentmetrics/metric.py
 4 2 2
def get_timer()
in fluentmetrics/metric.py
 5 2 2
def elapsed()
in fluentmetrics/metric.py
 10 2 2
def log()
in fluentmetrics/metric.py
 26 2 2
def _record_metric()
in fluentmetrics/metric.py
 7 2 2
def __init__()
in fluentmetrics/buffer.py
 4 1 4
def __init__()
in fluentmetrics/metric.py
 2 1 1
def elapsed()
in fluentmetrics/metric.py
 2 1 1
def elapsed_in_ms()
in fluentmetrics/metric.py
 2 1 1
def elapsed_in_seconds()
in fluentmetrics/metric.py
 2 1 1
def with_storage_resolution()
in fluentmetrics/metric.py
 3 1 2
def with_stream_id()
in fluentmetrics/metric.py
 4 1 2