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How No-Code Automated Testing Speeds Up Software Quality

Andrew LeeAndrew Lee2 mo ago


Software testing has always been the most crucial step in the development methodology to ensure quality. This is the stage that decides how easy and error free your product is and whether it is ready to be launched into the market or not. While software development processes have gone through massive changes in the last few decades, software testing is no exception. Traditional testing methods like manual testing worked during the initial days of software production but as the companies evolved, manual testing started showing its limitations. It was slow, costly and required more effort along with the dependency on technical expertise of testers. Companies realized they needed a smarter way of testing that can keep up with their agile development processes. This is where no-code automated testing comes into play. It resolved most of the issues faced by traditional testing methods and today has become an integral part of testing.

 

In this article, we will understand what is no-code automated testing, explore its benefits and contribution towards enhancing the quality of a software product.

What is No-code Automated Testing?

No-code automated testing is one of the latest technologies in modern testing processes that enables QA teams to automate testing using drag and drop features or natural language commands. Testers do not need to possess knowledge of programming languages like Java, Python, etc., for writing test scripts. All they need to do is to give commands in natural language in a test automation tool and the tool generates the test cases by itself and even runs them. The means through which this has become possible is that all the code has been abstracted for the user in the tool. A new layer of automation has been introduced that accepts natural language as an input and converts it into software code that generates the test cases and does all the test automation related activities.

Features of No-code Automated Testing

Below are few of the features of this kind of testing:

 

  • Intuitive interfaces: The automation tool comes with an intuitive interface that helps users to give instructions. Users can simply click the modules they need to access to be able to interact with the software.
  • Reusability: Test cases once created can be reused across different test suits. No need to create separate test cases for each module. Wherever possible, you can reuse the previously created test cases and modify them a little if needed.
  • Generative AI: It uses generative AI technology to generate test cases based on your natural language commands. All the operations on the test cases, whether it is to generate, modify or delete, can be done through generative AI algorithms.
  • Cross-browser testing: When your product needs to be tested across multiple browsers, devices or environments, you don’t need to do it every time on actual test scenarios. The test automation tool can simulate those scenarios for you and provide the test results exactly as how your product would behave in such scenarios.

Why No-code Automation Testing?

The core reasons why codeless testing is the future in modern software development frameworks are:

Complex Functionality and Accessibility

Modern software applications are becoming more complex with time - both in terms of functionality and accessibility. Companies cannot afford to allocate the same amount of time for testing as they do for developing while writing the code. The reasons are obvious - they often run on tight deadlines and budgets. Performing manual testing for all the kinds of complex functionalities would require a lot of time, budget and would become resource-heavy. Moreover, all the users come from diverse backgrounds using different devices, browsers, OSs, and their versions. To test all of these scenarios will take weeks or even months. This is where you need an automation framework. testRigor as a codeless testing tool is one such platform that can perform this task in minutes. Its AI-powered test engine can read all your code and functionality by itself, and recommends test cases to generate and perform cross-browser testing across multiple devices quickly.

Democratic QA Process

Another reason where no-code automation testing can prove helpful is that it democratizes the QA process. Since, companies no longer depend on test scripts to be written in programming languages, anyone without a technical background can also generate test cases on their own. All they need to do is to think of a scenario they want to test, give a command in natural language in the tool to generate that test case and hit run. The tool will automatically run the test cases and produce results. This is a great way of bridging the gap between your business and technical teams. Each of them can test the product from different angles to make it more robust and resilient.

Better Suited for Agile Development

There is hardly any software development firm present today that doesn’t use agile methodology in their software development. It is one of the most crucial requirements of using this methodology that the product development happens in iterations and multiple sprints. All this needs to happen quickly and hence, the testing method should also adapt to the quick changes being introduced into the product. Codeless testing speeds up your testing process to match the rate of faster development process and thus eliminates any bottlenecks in quickly launching the product.

Final Thoughts: The Road Ahead

No-code automation testing has come into popular use only since the last few years. But the landscape of software development and testing never ceases to evolve. There are still many more advancements expected in their journey. One of those are self-healing scripts which have already begun to be used by modern software companies. This feature allows the testing tool to evolve with the growing complexity of the software. Modern software is always in the state of flux. They need to either introduce new features in the product to be able to acquire newer customers or introduce new regulatory requirements. The reasons for change are many and it becomes difficult to keep updating your test scripts manually with the growing complexity of the software. Hence, by using the AI-powered self-healing feature, the test automation tool keeps updating the test cases by itself without needing any manual intervention. There are many more features like these that are on its way to turn the testing phase into a completely automated and autonomous process. The sooner you join this journey, the easier it will be to adapt to the evolution that is on its way.

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