The advancements in low-code test automation have significantly brought testing to the fingertips for not just QA analysts alone but also for developers, automation engineers, and product owners as well. Having experience in all these roles to develop specialized programming skills is not actually practical for everyone. This is where low-code tools assist to divide quality engineering by empowering everyone to cooperate and take equal roles in conducting, updating tests, and gaining insight from test results.
What Is Low-code Test Automation?
Low-code test automation services deliver numerous benefits to quality engineering, especially in the transformation from manual testing to automated testing. This transition is essential nowadays, as the emergence of the COVID-19 pandemic caused a lot of employees to work from home. Therefore, enterprises depend more on automation than on manual employees, especially for testing. Low-code platforms are also being widely accepted because, unlike the traditional testing methods, the transition from manual to automation does not cause much disruption in low code platforms. As the name itself indicates, the low-code architecture does not excessively depend on codes or programming. The codes in such frameworks are predefined, therefore it makes it simpler to use and conduct tests. Even employees with minimum expertise in a programming language or testing can perform test automation services with low-code platforms.
How Does Low-code Enhance Test Automation For Enterprises?
A significant challenge that enterprises faced with traditional test automation tools were that, the test scripts were were designed for software or applications that didn’t update constantly. Nowadays, with the ever-growing customer demands and the changing digital environment, applications need to have constant updates and tools must ensure all new codes are precisely validated. Also. more enterprises are currently accelerating development to keep up with fast product releases, by leveraging DevOps, Agile and CI/CD methodologies. The enterprises can face several bottlenecks when testing such technologies with manual testing. Sometimes the tester may not be experienced in testing these new innovations. In such cases, testers will have to be educated and given better training, all of which could result in more time and expense. With automated testing services, intelligent cognitive technologies are implemented with the tools to make it easier for conducting tests. Technologies such as machine learning, artificial intelligence, data analytics and other advanced technologies can considerably overcome the burden of test maintenance and succeed in the test rigidity challenges of legacy frameworks.
Benefits Of Low-code Test Automation
Save Time and Effort
Since the codes are predefined, testers will not have to create test scripts from the scratch for testing applications or software. The low-code platforms will help the QA teams to get end-to-end testing done as quickly as possible with minimal effort.
Simplify Testing With AI
Large complex applications will be quite difficult to test manually as it includes several modules and codes. With the integration of artificial intelligence, low-code testing tools can learn and adapt from previous tests. It simplifies the process of building extensive test scenarios for testing the application.
Streamline Testing
While manual testing experts can significantly validate the fundamental application functionality, test automation can be leveraged to streamline the entire process. It assists with ongoing inspections for regressions in varying user interfaces. Therefore, developers can make changes in real-time rather than wait for the entire application development.
Increase Collaboration
Enterprises can increase application efficiency if everyone involved with the development life cycle can test and implement suggestions. As mentioned earlier, low-code test automation does not require expertise in coding or programming for testing. It, therefore, allows various employees from the product development lifecycle to corporate tests and provide inputs.
Conclusion
As more companies are now adopting automation strategies and digital tools to ensure business connectivity amid the pandemic, enterprises are leveraging test automation services to enable their teams to rise to the challenge. It has helped QA experts in embracing machine learning and artificial intelligence to maintain quality and efficiency. Enterprises that have not yet adopted test automation must invest in this strategy and efficiently automate testing cycles for faster delivery and better quality.
Author Bio
Ricky Philip is an industry expert and a professional writer working at ThinkPalm Technologies. He works with a focus on understanding the implications of new technologies such as artificial intelligence, big data, SDN/NFV, cloud analytics, and Internet of Things (IoT) services. He is also a contributor to several prominent online publishing platforms such as DZone, HubSpot and Hackernoon.
