aws-samples / aws-datasync-verified-file-transfer-sqs-queue
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 5 units with 69 lines of code in units (25.2% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 1 medium size units (33 lines of code)
    • 2 small units (30 lines of code)
    • 2 very small units (6 lines of code)
0% | 0% | 47% | 43% | 8%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
py0% | 0% | 47% | 43% | 8%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
datasync_log0% | 0% | 100% | 0% | 0%
datasync_log_prep0% | 0% | 0% | 83% | 16%
Alternative Visuals
Longest Units
Top 5 longest units
Unit# linesMcCabe index# params
def lambda_handler()
in datasync_log/lambda_function.py
 33 11 2
def testLocation()
in datasync_log_prep/lambda_function.py
 16 5 1
def datasynclogprep()
in datasync_log_prep/lambda_function.py
 14 4 2
def delete()
in datasync_log_prep/lambda_function.py
 4 1 2
def lambda_handler()
in datasync_log_prep/lambda_function.py
 2 1 2