aws-samples / aws-serverless-saas-layers
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 173 units with 1,660 lines of code in units (27.2% 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)
    • 173 very simple units (1,660 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
js0% | 0% | 0% | 0% | 100%
py0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
Solution/Lab40% | 0% | 0% | 0% | 100%
Lab4/server0% | 0% | 0% | 0% | 100%
Solution/Lab10% | 0% | 0% | 0% | 100%
Solution/Lab30% | 0% | 0% | 0% | 100%
Solution/Lab20% | 0% | 0% | 0% | 100%
Lab1/server0% | 0% | 0% | 0% | 100%
Lab3/server0% | 0% | 0% | 0% | 100%
Lab2/server0% | 0% | 0% | 0% | 100%
Lab3/client0% | 0% | 0% | 0% | 100%
Lab4/client0% | 0% | 0% | 0% | 100%
Lab1/client0% | 0% | 0% | 0% | 100%
Lab2/client0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
module.exports.createTable = function()
in Solution/Lab1/server/order-manager/Utils/helper.js
29 4 2
module.exports.createTable = function()
in Solution/Lab1/server/product-manager/Utils/helper.js
29 4 2
module.exports.createTable = function()
in Solution/Lab3/server/layers/nodejs/helper.js
29 4 2
module.exports.createTable = function()
in Solution/Lab2/server/layers/nodejs/helper.js
29 4 2
module.exports.getOrder = function()
in Solution/Lab4/server/order-manager/order-manager-dal.js
36 4 2
module.exports.getProduct = function()
in Solution/Lab4/server/product-manager/product-manager-dal.js
36 4 2
module.exports.createTable = function()
in Solution/Lab4/server/layers/nodejs/helper.js
29 4 2
module.exports.createTable = function()
in Lab1/server/order-manager/Utils/helper.js
29 4 2
module.exports.createTable = function()
in Lab1/server/product-manager/Utils/helper.js
29 4 2
module.exports.createTable = function()
in Lab3/server/layers/nodejs/helper.js
29 4 2
module.exports.createTable = function()
in Lab2/server/layers/nodejs/helper.js
29 4 2
module.exports.createTable = function()
in Lab4/server/layers/nodejs/helper.js
29 4 2
module.exports.uploadToS3 = function()
in Solution/Lab1/server/order-manager/Utils/helper.js
10 3 3
module.exports.getOrder = function()
in Solution/Lab1/server/order-manager/order-manager-dal.js
17 3 2
module.exports.uploadToS3 = function()
in Solution/Lab1/server/product-manager/Utils/helper.js
10 3 3
module.exports.getProduct = function()
in Solution/Lab1/server/product-manager/product-manager-dal.js
17 3 2
module.exports.getOrder = function()
in Solution/Lab3/server/order-manager/order-manager-dal.js
20 3 2
module.exports.getProduct = function()
in Solution/Lab3/server/product-manager/product-manager-dal.js
20 3 2
module.exports.uploadToS3 = function()
in Solution/Lab3/server/layers/nodejs/helper.js
10 3 3
module.exports.getOrder = function()
in Solution/Lab2/server/order-manager/order-manager-dal.js
17 3 2