Traditionally, the main aim of software testing was just to detect errors in the software and enhance its quality. However, nowadays the meaning of software testing has expanded. In fact, automation testing has always been on the frontline, it is constantly evolving. According to the latest statistics, the market size of automation testing worldwide is expected to grow up to USD 28.8 billion by 2024. Hence, it is very easy to say that you must keep up with the speed of the constantly evolving landscape of testing. In order to attain this objective, you should get yourself familiarized with the latest automation testing trends.
Keeping this scenario in mind, we are presenting to you the latest automation trends that you should watch out for in 2022.
Codeless and Selenium Automation
Selenium is commonly used by popular automation testing companies. It is expected to maintain its popularity next year as well because of the following reasons.
- It is open-source and free to utilize
- It has support from various operating systems and browsers
- It supports different languages like Ruby, PHP, Perl, Java, Python, and C#
- The IDE has tools that help you to debug, record, or edit the test cases
- The IDE has tools that assist you to edit, recording and bedbug the test cases.
However, the increasing popularity of machine learning and artificial intelligence is bringing modifications in Selenium. Both artificial intelligence and machine learning aim to offer substitute means of error-prone and repetitive tasks.
Automation Testing Tools That Are Powered By AI
The main aim of automation testing is to decrease manual efforts for monotonous processes such as regression testing. However, writing the test scripts and test cases needs manual effort. Customers need a quicker delivery. Now the question arises, is it possible to decrease a little bit of manual effort? The most powerful and the latest concept of artificial intelligence has a solution to this thing.
Ease of maintenance is the most important advantage of AI-powered tools because they are created with the ability to heal better. These tools always observe the look and code for patterns and modifications. Tools such as Testim and TestCraft use artificial intelligence and machine learning to maintain, execute and authorize automated tests. Hence in the future, even if your app is expanding with thousands of test cases, you will not have to worry about chaining and maintaining your scripts. AI will help you out.
Shift-Right and Shift-Left Approach
According to the shift-left approach, testers must begin writing the test cases after getting clear requirements. The development is continued with parallel testing. Whereas, the shift-right approach concentrated on testing, observing, and upgrading the app in the production environments instead of completely handing the product’s responsibility to the Ops team.
However, utilizing the shift-right approach doesn’t mean that less focus should be there on the shift-left approach. Both of these approaches must go hand in hand. Shift-left approach assists you to create enhanced development paths. As a result, lesser bugs are caught after the development. Whereas shift right approach is regarding developing a plan that permits the team to continue testing after the product has established a user base. Therefore, it leads to enhanced performance testing, real-time load testing and user acceptance testing.
The Role of Automation in Security Testing and Risk Compliance
Data compliance and security is a big thing to look for when you are developing a product this or next year. Do you remember what happened with Facebook? Government guidelines are in place that limit the customer’s data consumption by an organization. For example, if you are creating a product in the European Union (EU), you must follow GDPR. These are global data privacy regulations.
The automation testing companies can also use automated test management tools like EMS Data Generator or Datprof. They assist you with synthetic test data generation and data masking. The data produced mimics actual user data. This data can be utilized to test your app while obeying all the privacy laws.
The significance of automation in risk security and compliance is one of the very noticeable automation testing trends to watch out for in 2022.
Cloud-Based Cross Browser Testing
Traditionally, developing a website was specific for desktop, tab, and mobile. These days, the majority of the customers and companies like to create a site using a mobile-first approach. It is very expensive to set up such a big testing infrastructure. For this reason, the majority of individuals and companies have begun moving toward cloud-browser testing models. You are expected to witness an increase in demand for the use of such models in 2022.
Conclusion
After viewing the discussion, it can be said that all the automation testing companies must keep these trends under consideration while testing the products.
