aws-samples / amazon-ecs-mythicalmysfits-workshop
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 67 units with 621 lines of code in units (10.9% 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)
    • 4 simple units (64 lines of code)
    • 63 very simple units (557 lines of code)
0% | 0% | 0% | 10% | 89%
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% | 0% | 10% | 89%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
workshop-3/app0% | 0% | 0% | 9% | 90%
workshop-2/ws3-start0% | 0% | 0% | 11% | 88%
workshop-2/app0% | 0% | 0% | 11% | 88%
workshop-1/app0% | 0% | 0% | 11% | 88%
workshop-2/Lab-30% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def getAllMysfits()
in workshop-2/app/monolith-service/service/mysfitsTableClient.py
16 7 0
def getAllMysfits()
in workshop-2/ws3-start/app/monolith-service/service/mysfitsTableClient.py
16 7 0
def getAllMysfits()
in workshop-3/app/monolith-service/service/mysfitsTableClient.py
16 7 0
def getAllMysfits()
in workshop-1/app/monolith-service/service/mysfitsTableClient.py
16 7 0
def like_mysfit()
in workshop-3/app/like-service/service/mysfits_like.py
16 4 1
def getMysfits()
in workshop-2/app/monolith-service/service/mythicalMysfitsService.py
14 2 0
def queryMysfits()
in workshop-2/app/monolith-service/service/mysfitsTableClient.py
27 2 1
def getMysfits()
in workshop-2/ws3-start/app/monolith-service/service/mythicalMysfitsService.py
14 2 0
def queryMysfits()
in workshop-2/ws3-start/app/monolith-service/service/mysfitsTableClient.py
27 2 1
def factorial()
in workshop-3/app/like-service/service/mmchaos.py
5 2 1
def chudnovskyBig()
in workshop-3/app/like-service/service/mmchaos.py
9 2 1
def getMysfits()
in workshop-3/app/monolith-service/service/mythicalMysfitsService.py
14 2 0
def queryMysfits()
in workshop-3/app/monolith-service/service/mysfitsTableClient.py
27 2 1
def getMysfits()
in workshop-1/app/monolith-service/service/mythicalMysfitsService.py
14 2 0
def queryMysfits()
in workshop-1/app/monolith-service/service/mysfitsTableClient.py
27 2 1
def health_check_response()
in workshop-2/app/like-service/service/mysfits_like.py
2 1 0
def process_like_request()
in workshop-2/app/like-service/service/mysfits_like.py
2 1 0
def fulfill_like()
in workshop-2/app/like-service/service/mysfits_like.py
3 1 1
def like_mysfit()
in workshop-2/app/like-service/service/mysfits_like.py
6 1 1
def healthCheckResponse()
in workshop-2/app/monolith-service/service/mythicalMysfitsService.py
2 1 0