Learn how AI, cloud, visual testing, BDD, and codeless tools can help you enhance your end-to-end testing process and results for software quality assurance.

BrowserStack can be used for parallel testing which can further reduce automation suite execution time.Also,It provides test case execution video which can further help in debugging the issues.

What new technologies can you use to improve end-to-end testing?

End-to-end testing is a crucial part of software quality assurance, as it verifies that the entire system works as expected from the user's perspective. However, end-to-end testing can also be challenging, time-consuming, and prone to errors, especially when dealing with complex and dynamic applications. Fortunately, there are some new technologies that can help you improve your end-to-end testing process and results. Here are some of them.

1 AI-powered test automation

Artificial intelligence (AI) can enhance test automation by enabling faster and smarter test generation, execution, and analysis. AI-powered test automation tools can use natural language processing, computer vision, and machine learning to create and update test cases based on user behavior, application changes, and test feedback. They can also optimize test coverage, identify and prioritize defects, and provide actionable insights for improvement. Some examples of AI-powered test automation tools are Testim, Mabl, and Functionize.

Add your perspective

Tiago Pinto

Test Automation Engineer @ Critical Software | ISTQB® Foundation Level Certified
Report contribution
Yes, AI can improve a lot in most things, and software testing is part of that. However, I'm not very fond of the idea "Just throw AI at it and it'll be fine". Know when and how to use AI is the most important thing. Learn how to use it, but don't make your thought process dependent on it. Use AI to find tasks that are mundane, identify missing coverage and whatever you find is useful but always with the thought that it is a tool. It's there to help you, and not be you. Often people lose critical thinking and rely too much on AI, which I consider to be the incorrect approach to use it.

Like

2 Cloud-based test environments

Cloud-based test environments can provide scalability, flexibility, and cost-effectiveness for end-to-end testing. Cloud-based test environments can allow you to access and configure various devices, browsers, operating systems, and network conditions on demand, without having to maintain physical infrastructure. They can also enable parallel testing, faster feedback, and better collaboration among testers and developers. Some examples of cloud-based test environments are Sauce Labs, BrowserStack, and AWS Device Farm.

Add your perspective

Apoorva Uthra

Senior SDET| Selenium | Java | Cucumber-BDD | TestNG | Postman |Jenkins|TOSCA AS1 AS2 Certified|Blogger
Report contribution
BrowserStack can be used for parallel testing which can further reduce automation suite execution time.Also,It provides test case execution video which can further help in debugging the issues.

Like

3 Visual testing tools

Visual testing tools can help you detect and resolve visual bugs and inconsistencies in your application's user interface. Visual testing tools can capture and compare screenshots of your application across different devices, browsers, and resolutions, and highlight any differences or anomalies. They can also integrate with your existing test automation framework and tools, and provide reports and feedback for visual quality assurance. Some examples of visual testing tools are Applitools, Percy, and Screener.

Add your perspective

4 Behavior-driven development frameworks

Behavior-driven development (BDD) frameworks can help you write and execute end-to-end tests in a clear and collaborative way. BDD frameworks can use a common language, such as Gherkin, to describe the expected behavior and outcomes of your application in a given scenario. They can also link these descriptions to the underlying test code, and run them as automated tests. BDD frameworks can improve communication and alignment among stakeholders, testers, and developers, and ensure that the tests reflect the user's needs and expectations. Some examples of BDD frameworks are Cucumber, SpecFlow, and Behat.

Add your perspective

Ghazi Khazri

+14K 🚀 Software Test Engineer | Test Automation | Continuous Integration | Technical Support | Certified ISTQB® | Certified A4Q® | Certified PSM® Scrum Master
Report contribution
Coming back to one of my experiences, BDD is very important in end-to-end test development. Using Cucumber, for example, allows each component of the system to be divided into a clear and simple scenario that could be read by any user such as stakeholders, developers, devops teams. Thanks to Cucumber, we were able to cover all system components, which means end-to-end testing in a modern, simple and efficient way. you can learn cucumber and Gherkin, it's easy, there are many useful Indian courses on udemy...

Like

5 Codeless test automation tools

Codeless test automation tools can help you create and run end-to-end tests without writing any code. Codeless test automation tools can use graphical user interfaces, drag-and-drop features, or record-and-playback methods to generate and execute test scripts. They can also provide reusable test components, data-driven testing, and cross-platform testing capabilities. Codeless test automation tools can make test automation more accessible and efficient for non-technical testers, and reduce the maintenance and debugging efforts. Some examples of codeless test automation tools are TestCraft, Leapwork, and TestProject.

Add your perspective

Tiago Pinto

Test Automation Engineer @ Critical Software | ISTQB® Foundation Level Certified
Report contribution
This is a very fun thing to use. You can simply open a window, perform some actions once and the re-run those actions any time you need. Amazing to test basic features, as in log in screens, filling fields, or any other tasks that are more user oriented. Just press record, perform the actions and have it there so be used whenever you want. Also, it reduces a lot the maintenance and debugging, and it can be good to share with stakeholders that don't have a very strong technical background.

Like

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

Add your perspective

What new technologies can you use to improve end-to-end testing?

1

2

3

4

5

6

1 AI-powered test automation

2 Cloud-based test environments

3 Visual testing tools

4 Behavior-driven development frameworks

5 Codeless test automation tools

6 Here’s what else to consider

Software Testing

Rate this article

Thanks for your feedback

More articles on Software Testing

More relevant reading

What new technologies can you use to improve end-to-end testing?

1

2

3

4

5

6

1 AI-powered test automation

2 Cloud-based test environments

3 Visual testing tools

4 Behavior-driven development frameworks

5 Codeless test automation tools

6 Here’s what else to consider

Software Testing

Rate this article

Thanks for your feedback

Explore Other Skills