Mikel  Okuneva

Mikel Okuneva


How to Write Test Cases?

Test case writing is one of the very important activities in software development to validate the functionality of the software. Also, these are the standards through which various teams such as the testing team, development team, and management team follow for developing and testing the software.

The importance is huge for test cases, but it has been a capable process for very few. There are scenarios where teams unknowingly skip this practice and later face the hurdles. Thus, the practice of writing test cases is very crucial in the software development lifecycle (SDLC).

The art of writing test cases is not so difficult, and also not simple. The test case document describes the conditions which every team should follow for proper software development. Thus, it is essential to keep these test cases simple, meaningful, and understandable.

With a perfectly documented test case, teams can effectively validate how the system should be tested, validate if the developed application is based on the requirements and expectations or not. Thus, to make test cases available for every SDLC process, it is important for teams to write test cases with proper understanding.

What Is a Test Case?

Test cases are the set of actions that are required to be executed for validating the functionality and feature of software applications. Test cases are often known as conditions because these contain testing steps, the data which has to be tested, pre, and postconditions for validating and comparing the actual and expected results.

What Are the Main Parts of a Test Case?

The crucial parts of a test case include:

  • Test Case ID: This is a unique number that is provided for a document. Noting down this number is very important for every project. The latest management systems such as TestRail, Zephyr, and Jira have made this simplified by directly assigning the new IDs for the test cases
  • Test Case Title: While writing the title for the test case, always be sure to write the one that is easy to understand.
  • Test Case Description: In this part of the test case, it is important to provide the details related to the test data that should be used, preconditions of the application, details relating to the test environment, and test automation tools.
  • Comments or Post Conditions: Though these are not declared as mandatory, having them in the document improves the efficiency of the test case. Also, by providing needful screenshots and instruction, it becomes easier for a developer to resolve defects whenever they are found.

What Are the Best Practices for Writing Effective Test Cases?

  • Write test cases from user point: Software is designed for meeting the requirements and expectations of both users and clients. Thus, make sure to write the test cases from the user point of view.
  • Avoid assumptions: While planning to write test cases, be sure, and stick to the specifications rather than assuming the functionality and features.
  • Ensure to test all requirements: It is mandatory that every test case was written meets all the functions and conditions of the software application.
  • Eliminate the repetition of test cases: When there is a scenario of executing one test case with the help of other test cases, then you need to call the other test case with the test case id to avoid repetition.
  • Write simple and crystal-clear test cases: Always plan to write simple test cases rather than complicated ones.


Test cases are one of the very important parts of SDLC. These act as the conditions and standards for developers and testers.

By writing the test cases before planning to write test cases before planning to begin testing helps the teams to validate the actual results with the expected results. Also, with this practice, teams can perform the right practice stage-by-stage.

But, to make this writing practice more efficient, it is required for the teams to be aware of the right test practice. Leverage testing services from next-gen QA testing services to enhance your test case efficiency.

#performance #test case

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How to Write Test Cases?
Tamia  Walter

Tamia Walter


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

How to Perform Usability Testing | Test Cases, Checklist, and Methods

Usability tests help us to know difficult areas where the user gets stuck or confused.

Usability Testing

  • Usability Testing helps us check and measure the effectiveness based design.
  • How easy can the user solve their problem using the software application?
  • It measures the ease of use of the software.
  • It takes place after the software is completely built.
  • Example: In the Amazon app, we can see the ‘+‘ and ‘‘ buttons on the checkout page to add or remove the product from the cart.

#manual testing #testing #test cases #usability testing

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

Dejah  Reinger

Dejah Reinger


How to Do API Testing?

Nowadays API testing is an integral part of testing. There are a lot of tools like postman, insomnia, etc. There are many articles that ask what is API, What is API testing, but the problem is How to do API testing? What I need to validate.

Note: In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.

Let’s directly jump to the topic.

Let’s consider you have an API endpoint example http://dzone.com/getuserDetails/{{username}} when you send the get request to that URL it returns the JSON response.

My API endpoint is http://dzone.com/getuserDetails/{{username}}

The response is in JSON format like below


  "jobTitle": "string",
  "userid": "string",
  "phoneNumber": "string",
  "password": "string",
  "email": "user@example.com",
  "firstName": "string",
  "lastName": "string",
  "userName": "string",
  "country": "string",
  "region": "string",
  "city": "string",
  "department": "string",
  "userType": 0

In the JSON we can see there are properties and associated values.

Now, For example, if we need details of the user with the username ‘ganeshhegde’ we need to send a **GET **request to **http://dzone.com/getuserDetails/ganeshhegde **


Now there are two scenarios.

1. Valid Usecase: User is available in the database and it returns user details with status code 200

2. Invalid Usecase: User is Unavailable/Invalid user in this case it returns status with code 404 with not found message.

#tutorial #performance #api #test automation #api testing #testing and qa #application programming interface #testing as a service #testing tutorial #api test

Aurelie  Block

Aurelie Block


Top 10 Automation Testing Tools: 2020 Edition

The demand for delivering quality software faster — or “Quality at Speed” — requires organizations to search for solutions in Agile, continuous integration (CI), and DevOps methodologies. Test automation is an essential part of these aspects. The latest World Quality Report 2018–2019 suggests that test automation is the biggest bottleneck to deliver “Quality at Speed,” as it is an enabler of successful Agile and DevOps adoption.

Test automation cannot be realized without good tools; as they determine how automation is performed and whether the benefits of automation can be delivered. Test automation tools is a crucial component in the DevOps toolchain. The current test automation trends have increased in applying artificial intelligence and machine learning (AI/ML) to offer advanced capabilities for test optimization, intelligent test generation, execution, and reporting. It will be worthwhile to understand which tools are best poised to take advantage of these trends.****

#automation-testing #automation-testing-tools #testing #testing-tools #selenium #open-source #test-automation #automated-testing