aws-samples / serverless-observability-workshop
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 42 units with 353 lines of code in units (3.6% 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)
    • 4 simple units (136 lines of code)
    • 38 very simple units (217 lines of code)
0% | 0% | 0% | 38% | 61%
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
js0% | 0% | 0% | 45% | 54%
py0% | 0% | 0% | 0% | 100%
ts0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
code/log-processing0% | 0% | 0% | 20% | 79%
code/backend0% | 0% | 0% | 48% | 51%
code/sample-app-tracing0% | 0% | 0% | 61% | 38%
code/sample-app0% | 0% | 0% | 72% | 27%
code/cloudwatch-cdk0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
Dimensions: buildDimensions()
in code/sample-app-tracing/src/lib/logging/logger.js
 34 9 2
Dimensions: buildDimensions()
in code/sample-app/src/lib/logging/logger.js
 34 9 2
Dimensions: buildDimensions()
in code/backend/src/lib/logging/logger.js
 34 9 2
yield makeMetric()
in code/log-processing/src/handlers/index.js
 34 8 6
retries: parseInt()
in code/log-processing/src/handlers/index.js
 16 5 1
yield makeMetric()
in code/log-processing/src/handlers/index.js
 10 4 6
await retry()
in code/log-processing/src/handlers/index.js
 9 4 1
minTimeout: parseFloat()
in code/log-processing/src/handlers/index.js
 15 4 1
yield makeMetric()
in code/log-processing/src/handlers/index.js
 12 3 6
yield makeMetric()
in code/log-processing/src/handlers/index.js
 11 3 6
yield makeMetric()
in code/log-processing/src/handlers/index.js
 10 3 6
maxTimeout: parseFloat()
in code/log-processing/src/handlers/index.js
 14 3 1
Dimensions: buildDimensions()
in code/log-processing/src/lib/logging/logger.js
 14 2 2
await processAll()
in code/log-processing/src/handlers/index.js
 2 2 1
yield makeMetric()
in code/log-processing/src/handlers/index.js
 2 2 1
log.options.dynamicMeta = function()
in code/log-processing/src/lib/logging/logger.js
 5 1 1
function parseFloatWith()
in code/log-processing/src/handlers/index.js
 4 1 2
function makeMetric()
in code/log-processing/src/handlers/index.js
 10 1 6
await publishSns()
in code/sample-app-tracing/src/handlers/put-item.js
 8 1 1
def create_name()
in code/sample-app-tracing/locust-script.py
 2 1 1