🏫 100 Algorithm Challenge Unit Testing Update with Jest

🏫 The 100 Algorithm Challenge gets a massive update adding unit testing with Jest to all 100+ challenges.

► ULTIMATE CODING RESOURCES LIST
A collection of the best resources for programming, web development, computer science and more.
» https://github.com/PizzaPokerGuy/ultimate-coding-resources

#testing #jest #developer #programming

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🏫  100 Algorithm Challenge Unit Testing Update with Jest

Software Testing 101: Regression Tests, Unit Tests, Integration Tests

Automation and segregation can help you build better software
If you write automated tests and deliver them to the customer, he can make sure the software is working properly. And, at the end of the day, he paid for it.

Ok. We can segregate or separate the tests according to some criteria. For example, “white box” tests are used to measure the internal quality of the software, in addition to the expected results. They are very useful to know the percentage of lines of code executed, the cyclomatic complexity and several other software metrics. Unit tests are white box tests.

#testing #software testing #regression tests #unit tests #integration tests

🏫 100 Algorithm Challenge Unit Testing Update with Jest

🏫 The 100 Algorithm Challenge gets a massive update adding unit testing with Jest to all 100+ challenges.

► ULTIMATE CODING RESOURCES LIST
A collection of the best resources for programming, web development, computer science and more.
» https://github.com/PizzaPokerGuy/ultimate-coding-resources

#testing #jest #developer #programming

Tamia  Walter

Tamia Walter

1596754901

Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

  • Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
  • Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
  • While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

Ways to Test Microservices

It is easy to fall into the trap of making testing microservices complicated, but there are ways to avoid this problem. Testing microservices doesn’t have to be complicated at all when you have the right strategy in place.

There are several ways to test microservices too, including:

  • Unit testing: Which allows developers to test microservices in a granular way. It doesn’t limit testing to individual microservices, but rather allows developers to take a more granular approach such as testing individual features or runtimes.
  • Integration testing: Which handles the testing of microservices in an interactive way. Microservices still need to work with each other when they are deployed, and integration testing is a key process in making sure that they do.
  • End-to-end testing: Which⁠—as the name suggests⁠—tests microservices as a complete app. This type of testing enables the testing of features, UI, communications, and other components that construct the app.

What’s important to note is the fact that these testing approaches allow for asynchronous testing. After all, asynchronous development is what makes developing microservices very appealing in the first place. By allowing for asynchronous testing, you can also make sure that components or microservices can be updated independently to one another.

#blog #microservices #testing #caylent #contract testing #end-to-end testing #hoverfly #integration testing #microservices #microservices architecture #pact #testing #unit testing #vagrant #vcr

Building A Test Runner in Jest - A How-To Guide

I use Jest nearly every day when working, and it’s a fantastic tool. It lets me ship my code with confidence, knowing that I have produced something which works as intended.

More often than not, when I write tests for my code, I end up catching something I hadn’t considered and go back to take that into account. It saves me from getting called in the evening to fix something in production. For me, that’s a big deal.

With that said, I didn’t really know how jest worked. I used it all the time, but had no real clue what was going on under the hood.

Recently, I bought Kent C Dodd’s excellent Testing JavaScript course which has been incredible for increasing my knowledge.

As part of that, he digs into how jest works under the hood, and this encouraged me to try building my own tiny version. So I want to pass on that knowledge to you!

This will be a small series of posts on each part, but you can skip ahead and see the full repo here.

Building our test runner

Today’s focus will be building the actual test runner. This simply accepts a test with a title, and a callback. We run the callback and if there are no errors, the test passes!

If an error is thrown, then we deem the test to have failed.

Take a look:

const test = async (title: string, callback: Function) => {
  try {
    await callback();
    console.log(chalk.green(`\u2713 ${title}`));
  } catch (error) {
    console.error(chalk.red(`✕ ${title}`));
    console.error(error);
  }

So as you can see, we have our test function which accepts a title which is a string, and a callback which is the function which we want to test.

We then run our callback function in a try/catch block, and assuming that nothing is caught, we say the test has passed.

This allows us to run something like this:

test('sum adds numbers', () => {
  const sum = (a, b) => a + b
  const result = sum(3, 7)
  const expected = 10
  expect(result).toBe(expected)
})

So as you can see, we pass a title, and a function where we sum two numbers: 3 and 7. But on our final line, we see something new: expect and toBe. These are our assertions and we have nothing to handle them yet.

#jest #javascript #tdd #unit-testing #javascript-top-story #how-to-build-a-jest-clone #building-test-runner-in-jest #hackernoon-top-story

Jamal  Lemke

Jamal Lemke

1603580400

Ten Principles For Agile Testers

In the previous blog we saw that what exactly is Agile testing and in this blog we will see in introduction to Principles For Agile Testers.

What is an Agile tester?

  • So get into the principles for Agile testers we first need to know what is an Agile tester? A professional tester who is not scared of change has knowledge about technical and business aspects as well and understands the concept of using tests to document requirements to drive development is an Agile tester.
  • Now let’s see what are in ten principles for Agile testers:
  • Provide continuous feedback.
  • Deliver value to the customer.
  • Enable face-to-face communication.
  • Have courage.
  • Keep it simple.
  • Practice continuous improvement.
  • Respond to change.
  • Self-organize.
  • Focus on people.
  • Enjoy

Provide Continuous Feedback

  • Continuous feedback is the key to agile testing success. By providing feedback we can improve and not make the same mistakes again and again. The main aim is to learn from your mistakes. Testers should help product owners or customers visualize requirements for the stories. Their feedbacks helps in designing the test cases early in the software life cycle. As retrospectives are an important part of the Agile process, providing feedback in it is also helpful. It is one of the most important principles for Agile testers.

Deliver Value to the Customer

  • As a tester, it’s your responsibility to tell customers which really is an important function and which is not. The testers help them identify the main functionality instead of just some cool features. The main focus is to try and deliver critical functionality and enhance it later. Critical functionalities should be worked on first as after seeing them implemented, customers can see what enhancements they want. Testing should work on corner cases but should not forget about the happy path of the service. As we get involved in testing it is possible to get involved in corner cases so much that we miss the core functionality. So, we need to maintain a balance between them.

Enable Face-to-Face Communication

  • Good communication is the key to success. Agile’s success is totally dependent upon communication. Whether it is between customer and developer or between developers and the testers all communication is very important. Testers should look for unique ways to communicate. Teams may be working in geographically divided. But it should not hinder communications between the teams.
  • Testers should never get in the way of any direct customer-developer communication but should help to make sure that communication happens. If a tester finds out that the developer has some confusion regarding the requirements. It’s the responsibility of the tester to set up a meeting between the developer and the business.
  • The testers understand the story from the customer’s perspective and from the developers’ technical angle as well. The tester should be able to communicate both ways, that’s why it’s in testers’ best interest to be good at communicating, as they need to do it more than any other team member. Testers act as a bridge between customers and developers.

Have Courage

  • The testers should have the courage to speak their minds. They should not be intimidated by anyone. If they find any issue they should report it. If they see any gap in the business requirements they should discuss it.
  • The testers should be comfortable in asking customers for examples or developers for help. Asking for examples is the best way for getting the real-world use case of the services. In Agile anyone can perform any task. So, a developer can help a tester in testing some particular scenario. And a tester can help the developers in debugging an issue ass well.
  • Testers should not be scared to fail but should learn from their mistake. It’s natural to make some mistakes but we should always learn from them and improve ourselves.

#api testing #integration testing #quality assurance (qa) #testing #unit testing #agile #agile teams #agile transformation #agiledeveloper #automation #automation testing #testing skills