Top Trends in Software Testing for 2022:

Keep an eye out for the Top Software Testing Trends to watch in 2022.

#1) DevOps and Agile

DevOps and Agile have been adopted by organisations in response to the desire for speed and requirements that change quickly.

By integrating development and operations tasks, DevOps strategies, procedures, processes, and tools help shorten the time it takes from development to operations. For businesses searching for strategies to speed up the software lifecycle from development to delivery and operation, DevOps has gained widespread acceptance.

The adoption of Agile and DevOps by the teams enables them to produce high-quality software more quickly, sometimes known as "Quality of Speed." In this adoption,over the last five years, and interest in it has increased and will continue to do so in the years to come.

2.Test Automation

Software teams cannot ignore test automation because it is a crucial component of the DevOps process if they want to implement DevOps practises successfully.

They must look for chances to switch from manual testing to automated testing. Since test automation is thought to be a major DevOps bottleneck, at the very least, most regression testing should be automated.

Given the popularity of DevOps and the fact that test automation is underutilized, with less than 20% of testing being automated, there is a lot of room to increase the adoption of test automation in organizations. More advanced methods and tools should emerge to improve how test automation is used in projects.

Selenium, Katalon, and TestComplete, three widely used automation tools, continue to develop new capabilities that make automation much simpler and more efficient as well.

3.Automated API and services testing: 

A current trend in both Web and mobile application design is decoupling the client and server.

APIs and services are applied to numerous applications and parts. Teams must test APIs and services independently of the applications that use them as a result of these changes.

When API and services are used across client applications and components, testing them is more effective and efficient than testing the client. The The demand for API and service test automation is on the rise and may soon outpace the capabilities used by end users on graphical user interfaces.

It is more important than ever to have the proper procedure, tool, and solution for API automation tests. Learning the best API Testing Tools for your testing tasks is therefore worthwhile.

#4) Testing using artificial intelligence:

Although the software research community has long used artificial intelligence and machine learning (AI/ML) approaches to address difficulties in software testing, current advances in AI/ML and the abundance of data now available present new opportunities to use AI/ML in testing.

The use of AI/ML in testing, however, is still in its infancy. Businesses will uncover ways to improve their AI/ML testing procedures.

To produce better test cases, test scripts, test data, and reports, AI/ML algorithms are being created. Making decisions on where, what, and when to conduct tests might be aided by predictive models. The teams are assisted by clever analytics and visualisation in their efforts to find errors, comprehend test coverage, identify high-risk locations, etc.

In the next years, we anticipate seeing increasing uses of AI/ML to tackle issues like quality prediction, test case prioritisation, fault classification, and assignment.

#5 Automated Mobile Testing

As mobile devices become more sophisticated, the practise of developing mobile apps continues to expand.

Mobile test automation needs to be a component of DevOps toolchains in order to effectively enable DevOps. However, the way that mobile test automation is currently used is exceedingly low, in part because there are no methodologies or tools available.

Automated testing of mobile applications is a growing trend. Shortening time to market and using more sophisticated tools and approaches for mobile test automation are driving this trend.

Mobile automation may advance with the combination of cloud-based mobile device labs like Kobiton and test automation solutions like Katalon.

Conclusion:

The schedule, budget, staffing, and facilities needed for testing consume a significant amount of a project's resources. Testing is a crucially important verification method. Testing is comparatively unique because it is inherently destructive, in contrast to the many constructive activities of systems engineering.