Tag: Trends

According to MarketsandMarkets, the automation testing market size is expected to grow to USD 49.9 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 19.2% during the forecast period.

Although software testing has been one of the most crucial and professional career fields in the past few years, it has now become an even more challenging job for automation testers in this digital transformation era. With the help of numerous trends, tools, and technologies that are now available in the industry, the quality of the product is now being checked at its best. However, when it comes to selecting the right tools – automation testing specialists have to acquire a lot of knowledge and practice to master each tool effectively. 

Workplace automation is present in almost all businesses today, irrespective of size. The software we use for streamlining business operations is an example of automation that has improved the workplace environment. An increasing number of software engineers are handling automation testing mandates that fall outside the purview of conventional “functional” testing, as the pandemic has called for it. That’s why software testers are required to keep themselves updated with these latest trends. 

Here are some of the best automation testing trends in 2022.

1. Performance Testing

The pandemic has completely shaken up the way organizations work and interact, and testing has not been excluded from this list. In 2021, big organizations like Tricentis acquired Neotys,  Grafana Labs acquired load-testing startup K6, and Perfecto acquiring BlazeMeter  acquired performance testing tool companies to include in their offerings. This is a trend and it’s calling for attention. This goes to show that companies are looking to move beyond just functional testing and are focused on including performance, accessibility, and security testing in their offerings. If organizations have not focused on performance testing until now, they might be forced to do so in 2022.

2. Cloud-Native Testing

For some time now, cloud-native testing has been one of the most trending topics in software development. Some developers call it  the future of software development primarily because it has already changed the way we think about developing, deploying, and operating software products. The world witnessed as AWS infrastructure outage wreaked havoc on companies like Netflix, Hulu, and Twitch. These kinds of incidents increase the demand for cloud-native testing to plan and be prepared.  Lastly, the dependency on external cloud applications requires companies to do more rigorous testing of the cloud infrastructure they use.

3. API Security Testing

API security testing is the process of checking for vulnerabilities in the organization’s APIs, ultimately surfacing any potential security gaps for the engineering team to fix. As workplaces get more distributed there is an increased need for the integration of tools and software for collaboration and data sharing. This is where APIs come into the picture, enabling software development. As cloud and cloud microservices adoption is on the rise, in 2022 we will witness an API-first world.

In such a world, there will be a requirement for API tools and techniques that allow developers to do API testing beyond conventional functional testing. Teams are now running API security tests as part of the DevOps pipeline, ensuring that security issues are caught early in the development lifecycle. To build a more secure IT infrastructure, companies will depend on API security testing. This will further push the rise of API functional and “non-functional” testing in 2022.

4. AI- assisted automation

Have you looked into GitHub Copilot that converts comments to code?

This tool is an excellent example of what AI-assisted automation will look like in 2022. This year organizations will witness a rise in the use of AI-assisted automation tools that will help developers and testers define more concise test cases. The advantage of AI-assisted automation lies in its ability to help developers enable automation irrespective of the language or framework they are using. It also enables multi-tasking and eases the workload for existing resources.

If you are wondering how this tech can help with functional automation testing, here is how Applitools is using GitHub Copilot to automate tests. Finally, there have been rapid advances in automation and AI technologies over the last few years. While it can augment the productivity of some supply chain workers, automation and AI technologies can replace the work done by others and will likely transform almost all work to some degree.

5. Resilience Testing

Software resilience testing is a method of software testing that focuses on ensuring that applications will perform well in real-life or chaotic conditions. In other words, it tests an application’s resilience, or ability to withstand stressful or challenging factors. 

When building applications, developers define test cases to see how their applications will respond to various load profiles. Usually, they perform soak tests or stress tests, yet, there is no way to introduce a failure in this type of testing. However, with resilience testing, it is possible to inject failure modes or introduce faults to understand how applications will respond in such a scenario. Resilience testing moves beyond requests and response timings measure, and helps organizations understand how an application acts when certain conditions within the application are changed. This furthers our understanding of how stress and load affect any application.

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