2021 will be the year of innovation in the field of quality control.
After a year marked by the pandemic, every business in the world has realized the importance of technology and innovation. Future innovations, that will change our understanding of software testing, development, design, and delivery — are what awaits us in 2021.
Enabling these trends (which include everything from basic automation to full software QA) will help companies achieve perfect reliability and quality of their software. Take into account all we said, let’s take a look at the 6 top software QA trends for 2021.
The no-code movement has been gaining momentum for several years, and now it is becoming increasingly relevant in software testing. The code-free testing tools are based on artificial intelligence algorithms that use visual modeling to quickly generate test cases. Of course all this should be based on other automated tests that have already been developed by QA engineers, but it is a great alternative for writing simple test scripts with minimal time costs.
Code-free testing is efficient, easy to review, and can be performed by almost anyone who is not afraid of computers. Such tools as Testsigma, TOSCA, tests.ai, Ranorex, Ghost Inspector, TestComplete and many others are already have a huge impact on the market.
A huge part of software testing is to make sure that all parts of the system integrate and work good together. And what is the most revolutionary technology when we speak about integration? That’s right, the Internet of goods is an incredible area with a huge expansion in the last few years.
Testing goods are ensures that all communication protocols, operating systems, hardware, and software implementations across various devices are synchronized and ready to go. Achievements in this testing methodology are responsible for the growing need for enhanced cybersecurity in IoT products, it can allow the creation of well-connected and efficient smart devices that automatically protect against vulnerabilities and threats.
* As the demand for custom AI solutions is higher than ever before, its new and improved role in software testing shouldn’t surprise anyone. Right now, AI can be used for a variety of automated test solutions, such as:
* Creating test cases based on user behavior, which helps companies build software that is strongly focused on customer requirements.
* Accomplishment of regression tests that collect performance metrics and provide accurate software monitoring.
* Support of the proper development, implementation, and continuity of uninterrupted automated tests.
* Fulfill tests in simulated environments, such as mobile browsers and individual devices.
* Functionality like these makes AI such a great confederate in software testing. In addition, AI test automation helps countless businesses eliminate unnecessary maintenance costs for software solutions.
Most companies are interested in making their software as high-performance as possible. However, it was necessary to pay close attention to a variety of elements in the field of business value, usability, technology stacks, and cybersecurity to achieve this goal. Realance all this with UX and market demand has proved to be a very time-consuming task.
The role of Performance Engineering is to minimize this problem by implementing customer-oriented testing as early as possible in the software development lifecycle. Accordingly the development team can easily reduce the number of bugs and bottlenecks early in the process. In a sense performance development is a replacement for performance testing, which usually focuses on the performance of off-the-shelf applications or MVP.
Testing decentralized technologies is very different from your day-to-day software testing. Cryptocurrency and financial companies which are working with blockchain know this better than anyone. Fortunately blockchain testing makes it easier for these companies to achieve efficient and specialized testing solutions.
Ethereum Tester (which is freely available on GitHub by the way) is one of the most commonly used platforms for this purpose. User-friendly and managed API uses blockchain technology to test the reliability of Web3 integrations, APIs, smart contracts, server infrastructures, and various other aspects of blockchain technology.
We’ve all heard about DevOps and its impact on the software industry. Now many companies are beginning to understand how QA can play a similar role to QAOps. This practice brings developers, operators, and test engineers together to optimize CI/CD pipelines and achieve parallel progress in the software development lifecycle.
The goal of QAOps is to achieve excellent quality and fast delivery by performing all the testing and quality control activities within the CI/CD pipeline. This means that QA engineers should start writing tests that can be used as soon as the developers complete the first commit of the project. In essence QAOps brings innovation to the automation of IT procedures, while ensuring the best quality and efficiency of software development.
The importance of testing will continue to grow
Last year we saw how it is important for businesses to rely on reliable, efficient and modern software solutions. This is what has pushed so many organizations towards digital acceleration.
However, there are many alternatives for quality control and testing. Many organizations may find it difficult to get started. If this is your case, consider outsourcing QA to go through all the recruitment and team development requirements you will need to build a professional QA team.
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