Internet of things test
The Internet of Things (IoT) is having a great impact on the testing field. Traditional automation methods like Selenium become useless in embedded environment. We see more and more testing frameworks based on Python and C/C++ for unit testing, integration testing and system testing. Most test frameworks test APIs derived from these embedded libraries, and quite a few of them call embedded code to perform unit tests. This requires professional test engineers with important software development experience, but we see that more software developers will be deployed to the role of automated testing. Python may be the preferred language for the development of the test framework of the Internet of Things, because it can directly use the ctypes package to call the C code.
Another new trend is that the DevOps environment of the Internet of Things is beginning to be standardized. So far, most of what we have seen is the temporary implementation of CI environment. We have pre-built solutions for construction management, test management, image loading, deployment of IOT images on different devices, A/B testing of different IOT devices, etc.
Continuous testing
Continuous testing is another trend that has continued since last year. In the past, we have seen the explosive growth of DevOps and CI/CD frameworks. With the emergence of new frameworks (such as Nevercode and Codefresh), this trend will continue this year.
Another trend of continuous testing is the risk assessment based on artificial intelligence for each version. Previously, this operation was performed manually to determine which versions can be deployed for the application. We have implemented several CI/CD platforms that perform automatic A/B deployment of applications based on artificial intelligence.
Testing based on artificial intelligence
The testing method based on artificial intelligence is not only a buzzword, but also has entered the mainstream testing practice. Artificial intelligence and automation are two parallel aspects of testing: automation is used for functional testing and artificial intelligence is used for visual testing. Visual testing based on artificial intelligence, including visual testing and sensory testing, is a very useful release verification method to quickly browse the visual changes of each build version. We have implemented visual testing solutions based on Applitools in different customers in Denver.