aws-samples / aws-batch-xray
Unit Size

The distribution of size of units (measured in lines of code).

Intro
  • Unit size measurements show the distribution of size of units of code (methods, functions...).
  • Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
  • You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
Unit Size Overall
  • There are 6 units with 104 lines of code in units (64.2% of code).
    • 0 very long units (0 lines of code)
    • 1 long units (69 lines of code)
    • 0 medium size units (0 lines of code)
    • 2 small units (23 lines of code)
    • 3 very small units (12 lines of code)
0% | 66% | 0% | 22% | 11%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
ts0% | 79% | 0% | 13% | 6%
py0% | 0% | 0% | 64% | 35%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
lib0% | 79% | 0% | 13% | 6%
job0% | 0% | 0% | 64% | 35%
Alternative Visuals
Longest Units
Top 6 longest units
Unit# linesMcCabe index# params
constructor()
in lib/batch-xray-stack.ts
 69 1 3
function BatchUserData()
in lib/batch-xray-stack.ts
 12 1 0
def _build()
in job/log.py
 11 1 0
userData: BatchUserData()
in lib/batch-xray-stack.ts
 6 1 0
def __new__()
in job/log.py
 4 2 1
def id_generator()
in job/s3.py
 2 2 2