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Top 7 Automated Testing Trends of 2022

DZone

In the past few decades, the QA testing world has witnessed great changes. Automated testing has evolved to accelerate speedy software releases at the highest quality. Test automation has always been an eye-catching trend, as it lowers the effort required for testing.

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Top Software testing trends to look out for in 2022

Testsigma

2014 saw the trend of mobile app testing as they were becoming a multi-billion dollar business all over the world. 2015 saw the trend of scriptless testing and IoT focussed methodologies. So the trend of mobile web testing came into the picture. AI and Machine learning-based testing.

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AIOps observability adoption ascends in healthcare

Dynatrace

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics. Emerging security threats.

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Automating DevOps practices fuels speed and quality

Dynatrace

But the complexity of multicloud platforms and microservices architecture makes it hard to run DevOps efficiently without the aid of artificial intelligence and automation. Highlighting DevOps automation at Perform 2022. Register for Perform 2022 today , and check out our DevOps track.

DevOps 272
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Software Testing Trends 2021 – What can we expect?

Testsigma

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Many changes are rendered through automated testing. IoT Test Automation.

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Runtime vulnerability management is still a vexing challenge for organizations

Dynatrace

According to the Dynatrace 2022 CISO Report, 69% of roughly 1,300 surveyed chief information security officers (CISOs) say vulnerability management has become more difficult as digital transformation accelerates. Many of these libraries have not been adequately tested before deployment. Another 40% have a siloed culture.

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Simplify Kubernetes complexity with advanced AIOps and cloud observability

Dynatrace

To combat Kubernetes complexity and capitalize on the full benefits of the open-source container orchestration platform, organizations need advanced AIOps that can intelligently manage the environment. Cloud-native observability and artificial intelligence (AI) can help organizations do just that with improved analysis and targeted insight.

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