aws-samples / amazon-qldb-streams-dmv-sample-lambda-python
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 6 units with 62 lines of code in units (26.2% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (30 lines of code)
    • 0 simple units (0 lines of code)
    • 5 very simple units (32 lines of code)
0% | 0% | 48% | 0% | 51%
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
py0% | 0% | 48% | 0% | 51%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
qldb_streaming_sample0% | 0% | 48% | 0% | 51%
Most Complex Units
Top 6 most complex units
Unit# linesMcCabe index# params
def lambda_handler()
in qldb_streaming_sample/app.py
 30 11 2
def get_data_metdata_from_revision_record()
in qldb_streaming_sample/app.py
 9 5 1
def send_sns_notification()
in qldb_streaming_sample/app.py
 16 4 2
def get_table_info_from_revision_record()
in qldb_streaming_sample/app.py
 3 3 1
def person_data_has_required_fields()
in qldb_streaming_sample/app.py
 2 2 1
2 2 1