Latest Software Testing Trends in 2022

Software testing is getting more important year by year. Today, this job is not only about finding bugs or developing a product, it is also about analytics too. For example, first, the testers do the research of the idea then they try to think theoretically about some negative aspects which might influence the product, and after that, they estimate the users’ interest. To do all this job in a comfortable environment, they use sort of software testing trends.

What types of testing will be used in 2022?

The world of software testing today is trying to find a solution on how to complete a full test cycle in a nick of time. It is important that speed does not reflect on quality. The technical requirements are a lot more demanding.

This makes classical testing methods outdated. However, more sophisticated and new trends in testing appear. In 2022 treads will only involve high technology methods.

Artificial intellect usage and machine learning involvement

Artificial intellect (AI) allows computers to learn on their own, by using the previous experience gained.  They follow the requirements that were set, and can rapidly analyze the situation and solve the task.

Recently, informational technologies started using artificial intellect more often. Moreover, they combine it with neural networks. To simplify the process, they use machine learning actively, which allows AI to learn by analyzing a couple of solutions to similar tasks.

All these aspects help to understand what is new in software testing on a whole new level.

Furthermore, the developers get a bunch of advantages.

1. QA teams use the artificial intellect method and this allows them to make test cases. The advantage is that no people are needed to control this process. In addition, artificial intellect deletes the same test cases to make everything even faster.
2. Artificial intellect can create and develop a matrix for organization and task requirement tracing. As a result, the area of testing is bigger, and the outcome is more detailed.
3. As machine learning can process a giant amount of data got from users’ reports, AI can analyze and forecast things rapidly and on a high-quality level. This means, that an issue can be found and fixed before it spoils the system.
4. If you combine AI and machine learning, you can organize a process of a fast and precise issue finding. This method also traces the operations and other things that are going on within the application, that might cause some issues in the future.

All these factors allow the testing teams to do a complete project analysis. The productivity level and the quality of the processed code is incredibly high. The user interface experience is also better.

Automatization level increase

Since artificial intellect and machine learning are developing swiftly, the quality assurance teams (QA) get a lot more space for actions. They can work on a variety of experiments and bring new ideas, without a need of a deep dive into software testing and process monitoring.

The development specialists and analysts say, that in the future the number of automated processes might be unbelievably high, this may cause some trouble for the testing teams, for example, they won’t be able to start all the operations. A huge number of automated processes might impact the speed, and the projects will release slower. So, some experts say, that it is necessary to use only those methods which will really make things go faster.

Automatization can not substitute manual testing for some elements. Generally, this concerns everything related to user experience. If a tester tries to automatize the processes that have certain issues, it might lead to some serious negative consequences.

To conclude, I’d like to say that the attention will not be on automatization in 2022, companies will rather focus on a conscious choice and combination of manual and automated processes.

CI/CD testing usage as a type of automatization

You will barely find a company not interested in CI/CD today because this helps them improve and optimize their business.

Continuous Integration (CI) is unceasing integration, a Continuous Delivery (CD) — is unceasing supplying. This instrument is related to DevOps and Agile. By the means provided, the developers are able to complete all the business-project requirements, they also can improve the quality level and code safety. All these features are a result of the ceaseless work of all IT systems of the project.

The idea of CI/CD is that each step of software development is tested by a variety of automatic test cycles. Then the code is checked separately to find and fix the issues.

What makes CI/CD so great is that the issues are found before the final, release version of the project. This is excellent, because the testing cycle is faster, and if something needs to be improved no backups are needed.

This trend is actively used since the beginning of 2021. The results it gives, make this option a trend for 2022.

TCoE as an upcoming trend

The IT technologies sector is waiting for many years to get the Testing Centers of Excellence (TCoE). However, it is hard to give any details about it at the present time. Analysts and testing experts forecast that this method will spread rapidly at the start of 2022, so it will obviously be a trend in software testing.

Testing Centers of Excellence is sort of a structure that finds and integrates different methods for high-quality standard testing.

These types of structures allow the organizations to integrate a new tester into any testing team, to increase the effectiveness and testing cycles speed. Moreover, the work is not stopping. TCoE also provides:

• Much less time is needed to go through a test cycle without spoiling the quality of the code;
• A ground for effective automatization of testing cycles;
• Improving the system for creating high-quality methods for the company.

Focusing on improving the productivity

High productivity always meant the successful growth of the project. In the past, developers and testers focused on this feature.

As the world is moving forward they need to control other features too, such as:

• Creating a safe product;
• Great usability features;
• Finding the value of the business project;
• Creating a simple configuration.

As a result, testing now is not limited to checking the functionality only. By 2021, the developers dive into all the aspects to improve each feature. This means that in 2022 QA teams will become universal soldiers, and they will be able to trace every software component.

Leading and organizing IoT testing

Internet of Things (IoT) is based on combining all the objects in one network, this is why it is called the internet of things. This concept was being developed for quite a long time. The 5G network played a crucial role in making this type of testing popular. It increases the processing, receiving, and transferring speed, which leads to more secure work.

Now, the software testing teams are getting ready for using this method. The main reason for it is that special and new software will be designed for a range of gadgets.

The developers will need to think and guess where might the negative factors appear and how they might influence product safety. They will need to find a solution on how to integrate the internet of things into their platform. New inventions make new problems, so the tracing of issues will be done actively.

A list of key features will become the basement of IoT:

• Safety optimization;
• Comfort improving and reasonable usage;
• Compatibility with other new projects;
• Creating a complete database;
• Offering a system.

As in many other projects, safety — is the key feature. Since each device will be connected to the internet all the time, some things may become a threat. Furthermore, IoT based gadgets will gather data about the users without notification, which might impact the transparency of the product. Active development and testing will help to release the product faster by following all the requirements and solving the issues that might occur.

Developing new safety testing methods

Internet of Things is about taking risks now, testers will need to put a lot of effort to check the safety level. Even if the IoT devices are integrated only partly, informational leaks might happen, which will have negative consequences. As the technology uses both, personal computers and smartphones, this unpleasant outcome appears.

In general, new software is about positive and negative aspects. The positive aspects of this method are the increase of available opportunities, the negative — lower safety level, and higher danger. The testing teams will need to find the solution and make special criteria and methods to test the product for external influence.

They should also pay attention to the safety of various corporate programs. If there is even the smallest possibility to break into the system, a massive leak of information is guaranteed, and it will have an unpleasant result for the company.

Open-source testing tools usage

The ability to view and edit the open-source software allows the team to achieve the highest level of safety and quality. This option provides effective work conditions and a simple learning environment for a new generation of testers. In addition, the customer needs satisfaction level is higher.

Doing the safest testing is the reason why testers want to use open-source tools. It also allows them to use more specific methods. For example, testers can integrate:

• Selenium;
• Robotium;
• Jmeter.

These are the tools that provide the best safety check estimation and point out all the issues that are present in the code. However, in 2022  after the introduction of new IoT devices, other effective tools and methods might appear, this is why trend following is important.

Updated and best trends in software testing in 2022

The trends in software quality inspection are constantly changing and updating. Some models become outdated without truly becoming popular, and others come to replace them. However, sometimes we see new instruments on the list of popular tools. Let’s discuss some of them. 

Here, we offer you a list of the most relevant and innovative products used at the highest quality level. QA teams admit that it is crucial to follow the trends. Using new instruments will help to get highly effective and good results.

UI testing

Quality assurance teams should test the user interface. They must check if all UI elements work and function as designed. Typically, this type of testing is a manual one. However, some instruments can test the product automatically. During the test cycle, the QA team might encounter the following issues: 

• Constantly updating elements, which overload the system and complicate the quality assurance;
• Maintaining a test scenario, as numerous updates can significantly affect the functionality of the scripts;
• As applications are constantly evolving, they are becoming more complex, so the complexity of verification is also increasing;
• Fixing the issues guarantees that a decent and adequately working product will be released

This is actually why quality assurance teams are testing the product cycle after cycle. Upgrades and updates in the product require testing. Hence, the test cycle and other processes must be planned. It will help speed up the working process, and the clients will be more loyal to the product.

API automatization realization

The case when several applications use the same API is quite common today. In these situations, the testing process is done separately from the products since the testing results might significantly change. In the following year, the best tools for this type of testing will be the ones that greatly simplify the testing and make data receiving more effective. Here are the two leading solutions. 

• Postman. This instrument offers a straightforward way of API testing. Most developers and QA teams use it since it helps to check the functionality, find and fix numerous issues.
• Apiary. This is an exceptionally designed platform that uses the Markdown language. It is suitable for conducting a full-fledged and high-quality organization of API testing and periodic testing. Using this tool provides the creation and implementation of ready test scripts. Additionally, it offers validation assurance and includes code samples for bug fixes. 

With the help of these instruments, QA teams may be sure that the API functions correctly. Furthermore, the developers can test the product right before the integration and release.

Leading the test cycle in production

Testing the software directly in the workspace implies using automated testing tools. These tools start working right after the launch of the application. Some QA teams don’t believe that it is necessary, but they do use it since it provides them with the most up-to-date information on the project and its functioning.

This type of testing is helpful because new features can still be added to the project after testing the final product version. Testing the product after the launch provides a high-quality analysis of working processes and functionality.

For this purpose, one can use Agile and DevOps methodologies.

Agile is a methodology of 4 to 12 consolidated software principles. It focuses on the aim of the application, helps simplify the structure, and creates opportunities for searching issues and fixing them quickly.

Also, the developers actively use the second-mentioned option of methodology. It means that they cooperate with the specialists in the informational and technical service of projects. They allow mutual integration into each other's work processes to achieve the most favorable outcome for a project. 

Both methodologies allow the QA team to conduct proper testing of the product without wasting too much time. It guarantees that the project will be delivered on time and released without delays because the final testing cycles are done on the released product, and the issues are fixed in the process.

There are tons of new applications and instruments, but classical testing in production will still be used. Using new solutions is comfortable and brings good results. It is worth mentioning that the tools with a certain level of automatization also use artificial intelligence and machine learning, allow testing after the release, and apply many other trends of this year and the following one. 

Quality assurance teams can now perform fast and practical work with their help. Furthermore, one can improve the productivity of the released software products.

How relevant will be testers in 2022?

Next year we will see completely new solutions for software testing, testers will be needed to find and solve the issues in different sectors. These specialists are in demand because they improve the existing products, devices, and services.

They are the people who shape the digital environment, and they will work with the developers in the first phases of the projects. Testers offer direct help and improvements to the quality of the code and the effectiveness of the product.

Even now, giant checks are paid to support the testing teams. It is essential to give support and encouragement because the quality then will be better. If companies do not do it the expanses will be even higher and the demand lower.

Final conclusion

IT technologies offer comfortable access to applications, now it solves the problems too. IT helps to organize communication, lead business, and get knowledge. All these abilities are a result of the hard work of QA teams.

The software safety index is increasing since 2020, which can help analyze the quality of testers’ work and the effectiveness of popular testing tools. The demand for qualified specialists is increasing and will gradually grow.

Next year the developers will focus on making their software safer. If the issues of IoT are not fixed, it may lead to a massive data leak and poor functionality.

The methods of software testing still need to be improved, some other, new methods of detecting the bugs and threats must be developed, and open-source methods should be used to achieve a flexible environment. A crucial thing is using automatic testing cycles in pair with manual testing. Machine learning and artificial intellect will help to reach new summits in the testing sector. Flexibility and the ability to train new talent using the open-source will help to grow and build strong teams. It will also give new opportunities for testing big projects and developing tools for the next generation.

The entire 2022 promises to be very productive for QA. By using new trends, the testers will be able to conduct more and more research with the widest possible security and speed level.