Hyperautomation — The Future of Testing

Published in

Qualityholics

5 min readOct 29, 2021

Much of the work we encounter today was done by hand in the early 1900s. For manual testing, QAs follow a written test plan that describes a unique set of test scenarios that analyze the performance of a web or mobile application from an end-user perspective without using any automated tools. With the advancement of technology, nowadays everything is automated. That automation is also evolving, and the future of automation is becoming more dynamic. That is known as Hyperautomation.

What is Hyperautomation?

In automation, people write automation scripts using various scripting languages, automation software, and tools and test the software accordingly. In the future, when testers enter what and how they want to test software, hyperactive software and tools will automatically perform everything and give the results. In fact, Hyperautomation is nothing more than automating everything you can.

This is described in Gartner’s Strategic Technology Publications and according to that Hyperautomation can be defined as follows:-

“This is the idea that anything that can be automated in an organization should be automated. Hyperautomation is driven by organizations having legacy business processes that are not streamlined, creating immensely expensive and extensive issues for organizations.”

It is a collection of multi-AI, machine learning, and packaged software and automation tools that help automate processes and perform tasks with the application of similar advanced technologies to improve human performance.

Automation vs. Hyperautpomation

Benefits of Hyperautomation

The majority of automation initiatives are focused on cost reduction, increased productivity, efficiency, and compliance. Hyperautomation achieves these goals and embraces the future of automation. Today, it is pushing the boundaries of automation and enabling enterprises to create a digital copy to reimagine labor. Organizations can benefit from Hyperautomation in the following ways:

Reduce lead time by performing chores in a timely manner.
Employees can be freed from tedious and repetitive duties and use their full ability in other tasks that demand human intelligence.
Remove repetitive activities from senior management so that they can focus on strategy creation.
Reduce operational costs by eliminating risks and guaranteeing compliance.
Improve and accelerate company processes to meet today’s demands.
Improve agility and prepare for the future.
Allow for the integration of digital technologies across diverse processes and legacy systems, resulting in improved data access and communication within the enterprise.

Why Hyperautomation is Essential for Testing?

According to the U.S. Business Establishment Statistics (BFS) report, more than 4.35 million enterprise applications will be developed by 2020; this is a huge increase of 24.13 percent over 2019.

Industry experts make predictions that this trend will only grow stronger in the future. As enterprises race to update, centralize, and consolidate their application stacks to keep up with the rate of technological change, they require a testing infrastructure that can ensure optimum quality and a smooth user experience at scale. Traditional test automation technologies have increased the pace and quality of modern software development, resulting in significant gains. The introduction of Hyperautomation, on the other hand, can amplify these gains and assist firms in reimagining QA. When compared to the limitless potential of Hyperautomation, the coverage of test automation solutions appears to be rather restricted. A few benefits of Hyperautomation in software testing are given below:-

Augments Human Capabilities: It is critical to recognize that Hyperautomation augments human capabilities rather than replacing them. Human testers are liberated from a variety of repetitious and low-value QA duties with this technique. It enables testing resources to focus on challenging tasks and learn new skills.

Provides Testing Transformation on a Large Scale: Hyperautomation makes use of recent breakthroughs in AI, Machine Learning (ML), and Natural Language Processing (NLP) technologies to enable enterprises to automate more testing processes across the entire ecosystem. It includes features such as automated test generation, script maintenance, bug tracking, and automated status report emails. The method promotes greater transparency in the testing process.

Automates the Detection and Validation of Commonly Used Use Cases: With Hyperautomation, test teams can be confident that essential features in an app will remain unchanged after a new release or upgrade. Intelligent testing technologies can evaluate production data to determine which flows are frequently used by real-world users. The knowledge collected is then used to automatically develop extremely effective automated test scripts.

Increases Test Automation Coverage: While test automation flows are typically limited to a single application, Hyperautomation is an ecosystem of systems and platforms. In contrast to regression testing programs in isolation, Hyperautomation coverage touches integrated systems and can include all important components of a bigger system. Teams will be able to test a wide range of applications with Hyperautomation powered testing tools, as well as handle complicated flows and dynamic test data requirements.

Increases Testing Team Productivity: Organizations can stimulate productivity by empowering the testing team with a more comprehensive plan integrating cutting-edge technology and magnifying the degree of automation. Hyperautomation also removes bottlenecks and limits in various levels of test automation and improves the process for higher yields.

Increases ROI with Advanced Capabilities: Hyperautomation enables enterprises to use AI to tap into the enormous possibilities of data. Organizations can gather data from several sources to acquire a better and more in-depth understanding of performance. Organizations can use advanced analytics to monitor the performance and efficiency of their test automation process, execute course adjustments in real-time, and save a lot of money in the process.

Conclusion

The facts discussed in the article confirm that Hyperautomation is more active than automation. It also reveals that it can cover a very wide range in a short period of time without spending much labor on software testing. As software development is growing rapidly in line with current market needs and considering the benefits of Hyperautomation, it is clear that Hyperautomation is more suitable for software quality assurance.