Go function unit testing can ensure complete code coverage through a coverage-driven approach. The approach consists of writing test cases to cover different use cases of the function. Run tests with the -cover flag to generate coverage reports. Check the report to determine if all lines of code are covered, if not add more test cases.
Coverage-driven Go function unit testing
Introduction
Unit testing It is a crucial step in software development and helps ensure the correctness of the code. Go provides a powerful testing package that supports writing unit tests for functions. With coverage-driven testing, we ensure complete code coverage.
Coverage Summary
Coverage measures the percentage of lines of code that are executed during test execution. Higher coverage indicates more comprehensive testing.
Coverage in Go
Go provides the cover
tool to calculate test coverage. To use it, before running the test command, you need to add the -cover
flag:
go test -cover
This will output a coverage report listing the lines of code that are not covered and the coverage percentage.
Practical case
Let us consider the following sum
function:
func sum(a, b int) int { return a + b }
To write a coverage-driven unit for this function To test, please perform the following steps:
sum
function. cover
flag. This will generate a coverage report. Step-by-Step Example
The following is a step-by-step example:
Step One: Write Test Cases
package main import ( "testing" ) func TestSum(t *testing.T) { // 测试用例 1 result := sum(1, 2) expected := 3 if result != expected { t.Errorf("Test case 1 failed: expected %d, got %d", expected, result) } // 测试用例 2 result = sum(0, 0) expected = 0 if result != expected { t.Errorf("Test case 2 failed: expected %d, got %d", expected, result) } }
Step 2: Use coverage
go test -cover
Step 3: Compare coverage
Rungo test -cover
will output a coverage report:
coverage: 100.0% of statements in main.go
This means that all lines of code in the sum
function have been covered.
Conclusion
Coverage-driven unit testing is an effective way to ensure the correctness of Go functions. By using the cover
tool we can easily calculate coverage and add more test cases for the uncovered lines of code.
The above is the detailed content of Coverage-driven unit testing of Go functions. For more information, please follow other related articles on the PHP Chinese website!