Software development necessitates unit testing, which ensures a high-quality product by testing each individual software component. Developers can quickly find and fix bugs before the product goes into production by using the Unit testing method. The correction of the isolated code is the primary objective of this unit testing.
The first level of testing known as unit testing is nothing more than examining each individual module or component of your code to prioritize and address bugs before they are released to production.
One method of testing known as unit testing is typically carried out by developers. Quality assurance engineers also perform unit testing despite developers’ reluctance to test.
By providing the necessary inputs to the test script and asserting that the actual output matches the expected results, the developers create unit tests.
Life cycle of Unit testing [PC: tutorialspoint]
Now that we’ve covered the fundamentals of unit testing, let’s have a look at its advantages.
Advantages of Unit testing [PC: TestingExperts]
This is the unit testing workflow, which will help you better understand how it works.
Now that we’ve seen the advantages, drawbacks, and workflow, let’s try putting it into your system so we can come up with more ideas. First things first: what we need and how to set it up.
Before starting you need to check the below prerequisites in your system:
Assuming that all the above prerequisites are installed in your system now you need to install two more npm packages by using the following steps
1) Install globally
npm install mocha -g
OR
2) install in the current directory
npm install mocha –save-dev OR npm install mocha –save
Which will be shown in your package.json file in the dependencies object as below
"dependencies': {
"chai": "^4.3.6",
"chai-http": "^4.3.0",
"dotenv": "^8.6.0",
"express": "^4.17.1",
"mocha": "^10.0.0",
After that, you need to add a test script in your package.json file in the script object
"test": "mocha --exit --colors src/test/**/*.ts",
Here is an example of a Test case:
//Import assert library
const assert = require('assert');
// We can group similar tests inside a describe block
describe("Sum of two value",()=>{
it("return 5 when sum of 1 and 4", ()=> {
assert.equal(1+4,5);
});
});
We can also write test cases for third-party API-called functions as well by using the Chai plugin. Now let’s look at the following steps of installing Chai as below:
1) Install globally
npm install chai -g
OR
2) install in the current directory
npm install chai –save-dev OR npm install chai –save
"dependencies': {
"chai": "^4.3.6",
Which will be shown in your package.json file in the dependencies object as below
Here is an example of a Test case:
//Import chai library const chai = require('chai') , chaiHttp = require('chai-http'); chai.use(chaiHttp); // You create individual request for success and fail it('request failed' function(done) { chai.request('http://localhost:3333') .get('/') .end (function (err, res) { expect(res), to.have.status(400); done(); }); }); it('success request', function() { chai.request('http://localhost:3333') .get('/') .end (function (err, res) { expect(res), to.have.status(400); }); });
Run the below command in the terminal in your project root directory to start the sonar scanner:
npm run test
npm run coverage // will be used to show your code coverage report on sonar for this you need to add the below script in your package.json script object
"coverage": "nyc --reporter=lcov npm run test"
npm run sonar
Once the command runs successfully, your dashboard will look like this:
In short, if software testing is done well from the beginning of product development, businesses can be sure of bug-free and high-quality software. The program’s individual modules are tested using this testing strategy. Certain advantages such as early detection of bugs and code correction prior to their costly resolution in the SDLC can be achieved by teams as a result of this strategy. The earliest form of testing that focuses on the code is called unit testing. Businesses must engage in unit testing from the beginning of the software development lifecycle (SDLC) to guarantee quality and bug-free software.
As a result, defects are discovered, analyzed, and fixed when a straightforward automated test could have detected them.
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