Over the last few years, the concept of no-code has made significant inroads into all aspects of software development. The antagonist of tech complexity, no-code testing unlocks unmatched tech opportunities for non-techies and allows individuals to build and test software with little or no prior knowledge.
According to research, the codeless testing market will experience skyrocketing growth with a CAGR of 15.5% between 2021 and 2031. Let’s see what codeless test automation AI is and why it’s the new frontier of software development.
Basics of code-free tests
No-code tests represent a relatively novel software testing practice that is different from traditional manual testing. Zero-code tests do not need special knowledge of software, computer coding languages, or scripting languages. They use machine learning to find defects in your code automatically, completely without human intervention.
Moreover, no-code platforms offer a built-in recorder and playback tool, statistics and visualization toolkit, and a whole wealth of other automated features that help solo developers, QA engineers, and business owners check the software.
This way, QA engineers, developers, and business owners can build input-free test scenarios for any application type with zilch coding that traditionally accompanies test automation and hampers efficient validation.
Low-code vs codeless
When choosing a codeless test automation tool for your project, you might come across low-code platforms. The latter claim to alleviate the pains of QA engineers, yet may not be suitable for complete newbies.
No-code or codeless solutions reduce the complexity of writing test scripts by automating the end-to-end testing process. The AI-fueled engine autonomously generates test cases and scripts without any programming knowledge from your side through simple drag and drop interfaces.
Although inherently scriptless, low-code platforms allow users to inject some code into the text to design or customize automated processes. Therefore, low-code platforms bode well for QA developers or developers with prior experience in validating software.
Core advantages of codeless test automation AI
With the rise of artificial intelligence, codeless test automation tools are becoming increasingly popular. AI-powered test automation tools can offer a number of benefits, including the ability to write tests faster, execute tests more accurately, and find more bugs.
Reduced time-to-market
Since developers don’t have to use test scripts, codeless testing tools enhance both performance and the speed of testing. Moreover, some solutions come with parallel test execution, which further accelerates validation as users can run multiple tests in multiple environments.
Better visibility
No-code tests greatly rely on recording and playback techniques. In this case, all test cases are recorded with dashboards, reporting, and test planning demonstrating progress and testing results. Test cases can also be easily reviewed by stakeholders.
For all user groups
With AI doing the heavy lifting, any user can create even complex test cases with no niche skills. Codeless test automation AI also offers multiple user-friendly testing options, making test cases easy to read and understand. Yet, prior exposure to HTML, CSS and other fundamentals will give you a head start.
Enhanced accuracy
As QA activities become more challenging, artificial intelligence can minimize a lion’s share of all complexities. For example, Optical Character Recognition lends you a helping hand in UI test automation. OCR allows you to find, extract, and validate text on a page, thus helping to check even complex visual elements hands-free.
Higher scalability
A traditional automation testing tool isn’t easy to upgrade. Codeless software, on the contrary, relies on cloud computing. As a result, its scaling capabilities are infinite, allowing you to ramp up and down your automation suites. Moreover, no-code solutions also reduce test debts, a well-known inhibitor of scalability.
When to use zero-code testing tools
The scope of code-free validation and testing is immense. From mobile apps to desktop and web applications, code-free automated tests can be run across multiple environments and an infinite number of applications. Although these platforms can be used as a standalone testing technique, codeless test solutions bode especially well for:
- Repeatable task;
- Resource-intensive QA initiatives;
- A steadfast testing environment with little change anticipated;
- Repetitive tests.
The final word
Testing has always been an integral part of the whole software development lifecycle. But what once used to be a dread task has evolved into a fully automated routine. The importance of codeless testing will continue to rise beyond 2022 as both QA teams and business owners are looking for ways to reduce development times and enhance testing efficiency.
Choosing the right codeless automation solution is crucial for QA excellence. Essential features include support for various platforms and languages, robust reporting, and AI capabilities. AI is impacting industries, enhancing automated QA activities and driving efficiency in software testing processes.