Emerging Software Testing Trends in 2022

Written by Mariam Refaat

Mariam is a Senior Quality Assurance Engineer who has been working at KUWAITNET for 3 years. She is very passionate about her work and considers it as a lifestyle, not a job to perform.

The latest software testing trends are advancing with time and are sure to continue growing in the years to come. The rise of the Internet of Things has caused a paradigm shift in the software testing industry. Increasing levels of automation, artificial intelligence, and robotic process automation will force software testers to focus on user experience. These new technologies are challenging, but they will benefit organizations. To keep up with the latest trends, here's a look at some of the top trends in the field. So, get ready to embrace the future.

Internet of Things (IoT) 

The Internet of Things (IoT) is a global network of devices, networks, and people that collect and share data. This constant data exchange requires software testing that addresses data security, integrity, scalability, and performance. For software testers, this is an important area of growth. Many organizations have already embraced IoT, but the future is bright for this emerging technology.

While IoT is largely consumer-oriented, it is equally pervasive in corporate markets. To test for the IoT, DevOps engineers must consider traceability and auditability. They should also collaborate with hardware specialists and vendors to make sure that their software is robust. IoT application testing also includes usability testing, which involves verifying the functionality of a mobile application or web page. A functional test will be performed when the user can use the software on a desktop or laptop. Performance testing is essential for IoT apps, as it checks the performance of devices connected to the internet. During the performance test, multiple users are tested simultaneously, and the system must be responsive. Stress testing requires specialized testing environments.

API Testing

API testing is a crucial element of many projects. Because these components can be used in multiple projects, they must be thoroughly tested for their intended use. It's likely that QA teams will be given more API-specific platforms that include testing automation tools. Moreover, the development of service and API test automation will progress faster than that of performance and functional testing. The future of API and service testing is bright. If you intend to stay ahead of the curve, keep up with the latest software testing trend and technology.

There are many ways to conduct API software testing. Here are a few tips: 1) Prioritize your tests. 2) Document your test cases well. 3) Create automated documentation. 4) Identify changes in your API. API testing involves analyzing multiple endpoints, databases, web services, and web user interfaces. In addition to detecting bugs and inconsistencies, API testing will also evaluate a number of other aspects of an application, including security and performance. If you are using an API in a business, you want to be sure that your users won't encounter any unexpected issues. Ensure the API can handle the expected load.

Codeless Automation 

Using codeless test automation tools to automate your web applications is becoming more popular. These technologies allow brands to move quickly while still meeting software quality objectives. Traditional test automation is resource-intensive and time-consuming, so using codeless tools to automate your web applications is the smartest way to save time and money. You should use codeless automation if you'd like to maximize the speed of your development process.

The advantages of codeless automation solutions are many. Using these tools proves to be an apt way to integrate specialists across different teams. Moreover, they tend to have a simpler syntax and visual elements, which will make it easier to train your developers. These solutions also allow you to easily create, manage, and execute tests for any application without the need for any coding knowledge. It remains compatible with continuous integration, and it allows you to create the right test scenarios for your application with fewer lines of code.


Blockchain software testing is essential to ensure the security and stability of a system. The power of a blockchain application lies in its shared ledger on each node. Each node must have the same set of transactions, so the shared ledger should be tested to ensure its integrity. Performance testing is vital for ensuring that the system is able to maintain a synchronized network with its peers. It also helps determine whether the system is secure enough to handle high volumes of traffic. And, of course, the code must meet all of the company's requirements.

There are many factors to consider when performing blockchain software testing. The most important thing is the load. The maximum throughput for Bitcoin is about three to four transactions per second. The more the load increases, the lower the throughput. That means that the code needs to be secure and safe. This makes it essential to test multiple versions of a system, ensuring that each version is compatible with the rest. The blockchain application should be scalable and have the ability to support a large number of transactions at once.


While functional testing is important, it may also provide a false sense of security. Therefore, a testing effort alone does not guarantee that the risk has been mitigated, especially for the most critical systems. Integrated cybersecurity testing can reduce the time and cost associated with a security breach. The collaboration between development and testing teams enables vulnerability detection early in the process and can prevent unmanageable issues once the software is in use. Furthermore, the security of the software can be improved by ensuring that it is thoroughly tested. This is specifically true in the scenario of critical systems and applications. Using a holistic approach to testing software can ensure that the software is secure.

Because security risks are constantly evolving, it is important to regularly update your cybersecurity-focused software testing practices. It is vital to protect your organization from emerging threats and potential vulnerabilities. However, if your organization does not have the staff or in-house resources to perform this type of testing, you may not be able to afford it. The best way to ensure that your application is secure is to have a software testing team that is focused on this area.

Machine Learning & Artificial Intelligence

Automated software testing can benefit from the use of machine learning and artificial intelligence. These technologies use smart systems/machines to analyze applications and predict defects. They can also identify a variety of applications. These methods can be used to bring business users into the testing process, as they can automate test cases for them. Furthermore, these technologies can evaluate anomalies and identify critical design concerns. Consequently, they can lighten the burden on developers and test teams.

The downside of software testing is the high cost of human resources. Since the majority of repetitive tests are automated by intelligent systems, developers are left to focus on higher-value activities. The result is a delayed product release and increased expenses. But AI-powered automation can greatly improve the quality of test cases and deliver them faster. Here are a few reasons why AI-powered testing solutions can help your business. Firstly, it is faster to deploy software. Secondly, AI-driven software testing is much more efficient. This technology can help engineers with high-level tasks while freeing them up from manual testing. 

Agility-Driven Test Automation

Agile models encourage frequent interaction among development teams and frequent code reviews to ensure alignment. Besides, they also promote the rapid release of new product features. The aim of agile development is to release a high-quality application within a short time. In other words, software users expect the applications to be bug-free, fully functional, and perpetually high-functional. Automated testing is essential in this model. It is therefore crucial for the success of an agile project to implement continuous testing processes.

The first step in adopting an agile model is to determine the needs of the test automation team. The best approach is to make sure that your team is prepared to work in parallel. The advantages of parallel testing are numerous, and they include avoiding lags and increasing team productivity. You can also use these parallel tests to invest in exploratory testing and ensure that the final product is error-free. Further, parallel testing will allow you to avoid issues that would otherwise allow your development team to meet its quality goals.

Performance Engineering

There are many benefits to performance engineering in software testing. First, it can help you develop responsive and ultra-responsive software. Second, it will improve the speed of your system. With time, software performance will continue to improve with each release, and as a result, your systems will be more dependable. Third, it will minimize the cost of repairing bugs and slowdowns. In fact, if you're looking for a way to boost your system's speed, you've come to the right place.

Performance engineering is easier to perform during development than in the final performance test phase. It's apt to make incremental improvements rather than a big leap at the end of the project. During the development phase, you can test for performance problems to avoid wasting money on additional hardware. This strategy has helped functional testing move to the left for many years. Now, you can apply performance engineering practices earlier in the SDLC to ensure the best results. The process of performance engineering can be applied at each phase of the project, from the beginning of development to post-production. The aim is to minimize technical debt and gain more business value from an application. 

Infrastructure as Code (IaC)

Creating new environments is an expensive and time-consuming process, and it can take days, or even weeks, to set them up. In the meantime, developers won't have the time to test the code as thoroughly as they would like. They will also lose context, and it will take them longer to remember what they're trying to debug. However, an effective IaC system lets developers spin up new environments in a matter of minutes.

The advantages of IaC are numerous. First, it allows organizations to quickly recover from large system failures. Instead of relying on manual processes, IaC lets them simply re-run the same manifest and bring the system up again at a different location. The process of re-running a manifest is fast and easy, as it doesn't require any additional documentation. Second, it makes infrastructure management easy. Users can maintain the infrastructure through source code files and version them in version control. This way, the configuration files are always up-to-date, and they don't have to worry about missing something.


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