* Add gocognit to static analyzers with a very high threshold * edit readme and sort analyzers
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Gocognit
Gocognit calculates cognitive complexities of functions in Go source code. A measurement of how hard does the code is intuitively to understand.
Understanding the complexity
Given code using if
statement,
func GetWords(number int) string {
if number == 1 { // +1
return "one"
} else if number == 2 { // +1
return "a couple"
} else if number == 3 { // +1
return "a few"
} else { // +1
return "lots"
}
} // Cognitive complexity = 4
Above code can be refactored using switch
statement,
func GetWords(number int) string {
switch number { // +1
case 1:
return "one"
case 2:
return "a couple"
case 3:
return "a few"
default:
return "lots"
}
} // Cognitive complexity = 1
As you see above codes are the same, but the second code are easier to understand, that is why the cognitive complexity score are lower compare to the first one.
Comparison with cyclometic complexity
Example 1
Cyclometic complexity
func GetWords(number int) string { // +1
switch number {
case 1: // +1
return "one"
case 2: // +1
return "a couple"
case 3: // +1
return "a few"
default:
return "lots"
}
} // Cyclomatic complexity = 4
Cognitive complexity
func GetWords(number int) string {
switch number { // +1
case 1:
return "one"
case 2:
return "a couple"
case 3:
return "a few"
default:
return "lots"
}
} // Cognitive complexity = 1
Cognitive complexity give lower score compare to cyclomatic complexity.
Example 2
Cyclomatic complexity
func SumOfPrimes(max int) int { // +1
var total int
OUT:
for i := 1; i < max; i++ { // +1
for j := 2; j < i; j++ { // +1
if i%j == 0 { // +1
continue OUT
}
}
total += i
}
return total
} // Cyclomatic complexity = 4
Cognitive complexity
func SumOfPrimes(max int) int {
var total int
OUT:
for i := 1; i < max; i++ { // +1
for j := 2; j < i; j++ { // +2 (nesting = 1)
if i%j == 0 { // +3 (nesting = 2)
continue OUT // +1
}
}
total += i
}
return total
} // Cognitive complexity = 7
Cognitive complexity give higher score compare to cyclomatic complexity.
Rules
The cognitive complexity of a function is calculated according to the following rules:
Note: these rules are specific for Go, please see the original whitepaper for more complete reference.
Increments
There is an increment for each of the following:
if
,else if
,else
switch
,select
for
goto
LABEL,break
LABEL,continue
LABEL- sequence of binary logical operators
- each method in a recursion cycle
Nesting level
The following structures increment the nesting level:
if
,else if
,else
switch
,select
for
- function literal or lambda
Nesting increments
The following structures receive a nesting increment commensurate with their nested depth inside nesting structures:
if
switch
,select
for
Installation
$ go install github.com/uudashr/gocognit/cmd/gocognit@latest
or
$ go get github.com/uudashr/gocognit/cmd/gocognit
Usage
$ gocognit
Calculate cognitive complexities of Go functions.
Usage:
gocognit [flags] <Go file or directory> ...
Flags:
-over N show functions with complexity > N only and
return exit code 1 if the set is non-empty
-top N show the top N most complex functions only
-avg show the average complexity over all functions,
not depending on whether -over or -top are set
The output fields for each line are:
<complexity> <package> <function> <file:row:column>
Examples:
$ gocognit .
$ gocognit main.go
$ gocognit -top 10 src/
$ gocognit -over 25 docker
$ gocognit -avg .
The output fields for each line are:
<complexity> <package> <function> <file:row:column>
Related project
- Gocyclo where the code are based on.
- Cognitive Complexity: A new way of measuring understandability white paper by G. Ann Campbell.