microsoft / azuredatastudio-postgresql
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 75 units with 1,227 lines of code in units (93.0% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 4 medium complex units (313 lines of code)
    • 15 simple units (413 lines of code)
    • 56 very simple units (501 lines of code)
0% | 0% | 25% | 33% | 40%
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
ts0% | 0% | 26% | 34% | 38%
js0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
src0% | 0% | 26% | 34% | 38%
tasks0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
97 16 1
96 16 1
totalTime: String()
in src/main.ts
95 16 1
function readXML()
in src/commonHelper.ts
25 15 3
39 9 3
prompt: localize()
in src/commands.ts
20 8 2
48 8 1
20 8 3
private parseDiagnostics()
in src/commandObserver.ts
29 7 1
34 7 0
31 7 3
private getRange()
in src/commandObserver.ts
14 6 1
16 6 4
public onDashboardOpen()
in src/contextProvider.ts
13 6 1
27 6 0
70 6 1
27 6 1
16 6 3
9 6 0
22 5 0