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Global events have created an environment where companies are adopting coding strategies combining both testing processes and quality assurance measurements.
Lately, we have seen countless risk-takers employing out-of-the-box thinking and experimenting with new technologies. Just to stay in business.
Although Artificial Intelligence hasn’t yet embraced its full potential (no cybernetic androids for now), it is soon to become a tester’s BFF.
Here’s how machine intelligence is making a dent in the testing market:
Modern approaches are also merging principles of DevOps with QA into QAOps.
This novel approach inherits the best from CI/CD projects and combines it with the best from the QA process.
This year, the Internet of Things will continue its exponential growth accelerated by 4G and 5G network standards.
This means that the projected surge in the number of IoT devices will increase the need and scope of IoT testing as well. Hence, QA engineers should be ready to face the new challenges and test the software built for entirely new types of hardware.
The blockchain testing service market is expected to grow from
From healthcare and energy to supply chains and media, blockchain has been making its mark on almost every industry. Therefore, we’ll see the tech market crying out for QA specialists with blockchain domain skills to provide professional testing services.
CTOs and CIOs came to realize the repercussions connected with downtimes, holes, cyberattacks, and data leaks.
Credit for the above piece goes to Tatsiana Isakova, Hang Ngo, and Ellen Stevens.
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