The rise in automation testing is ever-evolving, which will continue to grow with advancements in technologies. The reason is the increase in the number of applications developed by businesses. Besides, with Agile and DevOps being the center of SDLC, it has become crucial for organizations to quickly deliver products to the market.
On the other hand, many companies are adopting advanced technologies like AI, ML, Big Data, Blockchain, IoT, and Cloud Computing, which demands rapid development and testing life cycles. So, what’s going to change for automation testing in 2022?
There is no uncertainty that test automation is going to grow at a larger scale even in 2022, with the continuation of tremendous changes in technology and digital transformation. Hence, businesses should stay up to date with the latest trends and terminologies of automation testing. This article highlights the automation testing trends that might be ruling in 2022. Let’s look at the top trends you must follow to cope with the software industry changes.
- Agile and DevOps
Companies have adopted Agile and DevOps, considering the changing requirements in software development. Both these methodologies involve practices, tools, and processes to integrate the operations while reducing time in product development. In fact, DevOps has become a viable solution for businesses to shorten their software lifecycles from delivery to operations in software development.
Over the past few years, both DevOps and Agile have gained much interest and will continue to grow. Adopting Agile and DevOps in 2022 will also allow teams to quickly build and deliver quality software.
- Importance of Decentralization
The urge to access anywhere from everywhere is driving organizations crazy to invest more in automation testing. This demand has given rise to the importance of decentralization. Access to centralized testing platforms will make it easier for businesses to work efficiently even from different locations without affecting the test infrastructure.
The purpose of decentralization is to focus on managed resources, central repositories, central reporting portals, and other factors. In the upcoming years, companies will be more focused on aligning decentralized platforms in their organizations. These application models allow you to automate and write test cases from anywhere without real business logic.
- Hyper Automation Testing
If you haven’t heard this phrase before, let’s tell you that HyperTest refers to active automation. As a QA, you might know that in most companies, automation is performed using AI, ML, RPA, and Natural Language Processing, which is referred to as hyper-automation. This technique has gained immense popularity in the last few years.
In fact, many companies have already started implementing hyper-automation in various processes to minimize human interference and manual efforts. In the upcoming years, hyper-automation will be the most popular technique used for automation testing, so you should keep an eye on it.
- The rise in Visual Testing
Visual testing is still considered a critical factor in automation testing. However, it will emerge as a popular and demanding testing type for companies in the upcoming years. The major reason behind it is the rise in the virtual working environment. Virtual testing of test cases is versatile and can be easily copied with underlying technology changes.
Virtual testing will open new avenues for interactive visual testing, such as using images and text to conduct functional tests. In addition, it will help fix a lot of problems that testers are currently facing.
- AI-Powered Testing
AI-powered test automation is going to dominate automation testing in the future. As teams are already using AI and ML capabilities to automate their testing process, it will provide an efficient way to test asset management. Furthermore, we can say that automated test planning will be driven by analytics-based algorithms, which in turn increases the test coverage at low maintenance.
Apart from that, we will also see a rise in alert management and automated change impact analysis that can help respond to issues and bugs while suggesting early-stage detection and different coding styles. With the inclusion of AI in automation testing, every line of code can be scanned easily by the AI platform while opening new avenues for finding code vulnerability, better adherence to coding standards, and refactoring.
- Multi-Experience Testing
Multi-experience testing is a new term that can help you meet the rising demand of multiple users and industries. It refers to providing a seamless user experience based on different requirements, as companies are continuously expanding their value propositions in software development.
Introducing multi-experience development platforms in your organization will enable you to quickly develop augmented reality, chat, voice, and other relevant experiences. Besides, it is more helpful in automation testing with the use of advanced automation testing tools.
- Usage of Advance Automation Testing Tools
The success of automation testing majorly relies on advanced automation tools. With smart tools, real problems like modifying the XPaths in Selenium tests can be resolved quickly. At present, there are plenty of tools available for automation testing, but not every one of them delivers value to the company.
Features like multi-attribute selectors for changing code, wide compatibility across browsers and OS, and visual testing are still hard to meet testing requirements. However, in 2022, advanced automation tools will gain prominence and solve complex challenges faced in automation testing. For instance, tools like LambdaTest automation can help you increase test coverage and reduce flakiness while executing end-to-end automation testing quickly.
- The rise in Codeless Testing
The purpose of automating test cases is to reduce coding in the upcoming future. Although not just in 2022, companies will focus on implementing codeless testing even in the forthcoming years. This means automated tests can be created easily without writing a single line of code, which will empower teams to leverage advanced test scripts.
It is hard to believe that even complex or dynamic applications won’t require coding to implement a codeless testing platform, but it’s true! This will be relieving for testers as it will save them a lot of time and resources while focusing on improving other areas of testing. However, it doesn’t mean that the test cases will not be created; it will be done by the codeless testing platform to maximize stability and efficiency.
- Improvement on CI/CD Pipeline
CI/CD pipeline is already a part of software development. It can boost the automation testing process in the upcoming days while accelerating the included activities to the next level. If we consider the current scenario, testers strive hard to catch up with the testing requirements. This scenario will change soon as CI/CD pipelines will be enhanced by AI technology to deliver the computing power and hardware resources required for product testing.
You can utilize these pipelines to ensure iterative code changes happen with building, testing, and deploying. It will also reduce the quantity of deploying new code based on earlier versions and bugs. Besides, with less human intervention, you’ll be able to scale and simplify the automation testing process.
Trends in automation testing are ever-evolving; they keep changing with technologies and development methodologies. However, it’s good to keep your eyes open on every trend if you want to scale your automation testing process. In this article, we have highlighted the top automation testing trends that you must follow in 2022.