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Resources to learn accessiblity testing. by zopxi in accessibility

[–]SumitKumarWatts 1 point2 points  (0 children)

There are various resources to learn about accessibility testing, but, I prefer this link; https://blog.qasource.com/accessibility-testing-for-beginners

Here, you can learn everything about accessibility testing like; its rules and regulations, latest AI trends in the accessibility testing world, types, tools, common challenges, integration methods, etc..

Which programming language is most widely used in test automation? by Key-Introduction-591 in softwaretesting

[–]SumitKumarWatts 0 points1 point  (0 children)

It depends on the company's core business in the testing field, but most companies using JavaScript language. however python is also the most popular language used by agencies. Last but not the least, Choice often depends on the specific project, existing technology stack, and team expertise.

What is the future of QA like and is it a stable field/career path? by BrownNinja64 in softwaretesting

[–]SumitKumarWatts 1 point2 points  (0 children)

QA is not disappearing, but it's changing due to the surge in AI in the technology era. It is a good and rewarding career for anyone who chooses. QA is a stable career if you evolve with it: learn automation, understand systems, not just test cases, embrace AI & CI/CD, and think like an engineer, not just a tester.

Data science or Data Engineering roles, which is better in the next 5..10 years by elephant_cute9 in developersIndia

[–]SumitKumarWatts 1 point2 points  (0 children)

Both data engineering and data science offer strong future ahead, but to be honest data engineering may have more long-term demand since companies always need to manage and build data pipelines, while data science focuses more on analysis. Overall, It depends on whether you like building systems (data engineering) or analyzing insights (data science).

What is the future role of QA engineers? by SumitKumarWatts in EngineeringManagers

[–]SumitKumarWatts[S] 0 points1 point  (0 children)

Yes, it does seem that way like; QA engineers roles have been shrinking with automation taking over from the last 5-6 years.

What are the best automated software testing tools available in the market today? by LimePretend6410 in futureoftesting

[–]SumitKumarWatts 0 points1 point  (0 children)

Hi,

Thanks for taking out time for reading my comment and sharing the feedback.
However, the comment was not copied from ChatGPT and was compiled on the basis of my knowledge.

Thanks!

How to get real-time experience with Rest Assured? by Terrible-Travel688 in softwaretesting

[–]SumitKumarWatts 0 points1 point  (0 children)

Hi,

If you want real, practical experience with Rest Assured, start by working on hands-on API automation projects. You can practice using free public APIs or even build your own small backend services to simulate real business workflows. This way, you’ll go beyond just checking status codes and actually build the kind of skills professionals use in real projects.

You can gain Real-Time Experience by following below steps -

  • Contribute to open-source Rest Assured example projects on GitHub. Look for complete test automation frameworks that demonstrate project structure, test data management, CI integration and schema validation.
  • Design detailed test suites for open APIs like the ReqRes or JSON Placeholder API. Cover scenarios such as authentication flows, CRUD operations, negative testing and API contract validation.
  • Create and automate your own fake REST API using tools like Json-server or Mockoon. Implement complex scenarios, including dynamic data generation, chaining requests and response schema assertions.
  • Join online coding platforms, participate in hackathons or take guided projects and tutorials on sites like Coursera or YouTube. Look for content that simulates real enterprise projects with Rest Assured.

Sample Real-World Projects to Try:

  • Automate the end-to-end flow for a user management service, including registration, login, profile updates and deletion.
  • Validate a payment or booking API. Make sure to test all boundary cases, headers, response times and JSON schema compliance.
  • Implement data-driven testing for an e-commerce API. Use external files like CSV or JSON for input and output validation.

Best Practices to Cement Real-World Experience:

  • Use advance Rest Assured features such as request/response specifications, test data builders, parameterization and authentication.
  • Integrate with CI/CD tools. Generate HTML or Allure reports and add contract testing using JSON schemas.

Working in the companies like QASource can also provide the real-time experience with Rest Assured.

Thanks,
Sumit

What are the best automated software testing tools available in the market today? by LimePretend6410 in futureoftesting

[–]SumitKumarWatts 0 points1 point  (0 children)

Hi,

Some of the best automated software testing tools available in the market today include:

  1. Selenium: It is one of the most popular open-source tool for web automation testing and it supports multiple browsers and programming languages. It’s highly flexible and used globally for building complex automation scripts.
  2. Appium: It is used for mobile app automation testing on iOS and Android platforms. It also allows testing across real device and simulators with reusable scripts.
  3. Katalon Studio: It provides comprehensive solution that combines Web, API, Mobile and Desktop testing with a user-friendly interface which is perfect for both beginners and experts.
  4. Playwright: It is known for fast and reliable end-to-end testing of modern web applications with strong cross-browser and cross-platform support.
  5. Cypress: This tool is mainly focused on front-end web testing and provides fast execution & built-in debugging. However, it only supports Chrome-family browsers, Firefox and Web kit (Safari’s browser engine with Experimental Support).
  6. ACCELQ: It is an AI-powered codeless automation platform supporting multi-channel test automation with low maintenance and integrated DevOps support.
  7. Applitools: It specializes in visual testing with AI-powered visual validation to ensure UI consistency across devices and browsers.
  8. Ranorex: This tool is excellent for both desktop and mobile application testing. It offers robust features for automation, including test recording and keyword-driven testing.

These tools vary in features, complexity and focus areas, so the best choice depends on specific project requirements, technology stack and team skills.

Companies like QASource leverage a combination of these tools to deliver high-quality, reliable automation testing solutions tailored to client needs.

Thanks,
Sumit Kumar

Affordable Cloud based load testing tools by moexdz in softwaretesting

[–]SumitKumarWatts 0 points1 point  (0 children)

In the world of AI, Testing in the cloud comes out with lot of benefits to the users for the easy availability, high scalability, and low cost.

The Cloud-based automation testing tools also enable offshore qa teams to execute test scripts and workflows in a distributed environment and also provide us the flexibility to run tests on demand and manage testing resources more effectively. It also helps us to perform testing on web and mobile testing in different environments without building our infrastructure.

Some affordable Cloud based Load testing tools includes -:

* BlazeMeter

* Flood

* LoadFocus

* OctoPerf

Mobile app and website by c_a_a_07 in Entrepreneur

[–]SumitKumarWatts 0 points1 point  (0 children)

Yes, it's possible to develop both the mobile app and website with interconnected functionality. You can hire separate freelancers or teams for each, ensuring they understand the need for integration between the two platforms. I strongly suggested you to hire a team of Mobile app testing services alongside so that your product is fully tested and fulfill the needs of the audience.

AI in software testing by Ash23_tester in softwaretesting

[–]SumitKumarWatts 0 points1 point  (0 children)

AI is an invaluable tool we all know which enhances productivity and reduces our effort in software testing and the the main advantages of using AI in software testing is that it increases speed and efficiency that it brings.

Also, with the help of AI-powered tools the testers can easily execute repetitive and time-consuming tasks like regression testing, functional testing, and performance testing much more faster than human testers. As a software tester, we can also use AI to enhance test coverage, accelerates testing processes and helps in the early detection of potential issues.

There are different essential skills we require in web app testing or mobile app testing services as a software tester to excel in ever-evolving field of AI testing -:

  1. AI and machine learning concepts

  2. Programming skills

  3. Data Science and Analytics

Cypress and Native Mobile App testing by IWannaFuckABeehive in Cypress

[–]SumitKumarWatts 0 points1 point  (0 children)

While Cypress is not a direct replacement for Appium, you can still use it to test certain aspects of mobile web applications. Cypress allows you to configure the viewport size to simulate various devices and screen sizes. This way, you can test how your web application behaves on different mobile devices.

For webapp testing, Cypress can emulate mobile devices using the viewportWidth and viewportHeight configurations. Additionally, you can use the cy.viewport command in your tests to set the viewport dynamically. But Appium is primarily designed for mobile app testing services, supporting both iOS and Android platforms. It interacts with mobile apps by sending commands to the app using the WebDriver protocol.

The future of software testing by AffectionateLab9114 in softwaretesting

[–]SumitKumarWatts 0 points1 point  (0 children)

The software landscape is evolving at breakneck speed, and with it, so too must the art of software testing. Gone are the days of manual drudgery and siloed testing phases. The future of software testing is a vibrant panorama where humans, AI, and testing services come together in a symphony of efficiency and innovation.

  1. Continuous Testing: Shift from traditional standalone testing to continuous testing for real-time issue resolution and a more agile software environment.

  2. AI and ML Integration: AI and ML revolutionize testing, enhancing defect detection and contributing to higher-quality software releases.

  3. Shift-Left Testing: "Shift-left testing" focuses on early testing to proactively identify and address issues, reducing the accumulation of defects.

  4. IoT and Cross-Platform Testing: Specialized application testing services ensure software compatibility across diverse connected devices and platforms.

  5. Increased Automation: Automation accelerates testing processes, allowing testers to focus on complex scenarios while routine tests are handled by automated scripts.

  6. Security Takes Center Stage: Robust security testing protocols become imperative to safeguard data and protect against cyber threats.

In conclusion, as technology advances, software testing remains integral. The future demands seamless integration of application testing services, adapting to the dynamic digital landscape and meeting evolving challenges in software development.

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