aws-samples / aws-batch-processing-job-repo
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 8 units with 135 lines of code in units (11.2% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 3 medium size units (83 lines of code)
    • 3 small units (45 lines of code)
    • 2 very small units (7 lines of code)
0% | 0% | 61% | 33% | 5%
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% | 61% | 33% | 5%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
src0% | 0% | 61% | 33% | 5%
Alternative Visuals
Longest Units
Top 8 longest units
Unit# linesMcCabe index# params
def main()
in src/batch_processor.py
 32 4 0
def process_files()
in src/batch_processor.py
 26 6 4
def read_file()
in src/batch_processor.py
 25 4 5
def batch_processing_job_update()
in src/batch_processor.py
 19 2 6
def logMessage()
in src/batch_processor.py
 14 7 3
def batch_process()
in src/batch_processor.py
 12 3 4
def constructMessageFormat()
in src/batch_processor.py
 5 2 4
def test()
in src/batch_processor.py
 2 1 0