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TEST AUTOMATION TOOLS: 8 TRENDS AND TECHNIQUES TO WATCH

To realize the benefits of test automation, organizations have to take full advantage of smarter tools, according to the The World Quality Report 2020–2021. Smart tools are those that include more features based on artificial intelligence (AI) and machine learning (ML). These, along with a proliferation of JavaScript-based testing tools,.

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PERFORCE ACQUIRES AI-BASED MOBILE TESTING EXPERTS 21 LABS

Enterprise development solutions provider Perforce has acquired the AI-based mobile testing experts at 21 Labs. The acquisition will bolster Perforce’s existing portfolio of solutions for the enterprise development lifecycle with powerful testing capabilities. 21 Labs’ self-learning, AI-based mobile automation testing tool helps businesses to deploy quality iOS and Android apps.

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FOUR THINGS ORGANISATIONS MUST CONSIDER WHEN TESTING AI

Machine learning operations (MLOps) is a newly emerging best practice in the enterprise space that is helping data science leaders effectively develop, deploy, and monitor data models. A compound of machine learning (ML) and operations, the market for MLOps solutions is predicted to grow from US$350 million in 2019 to.

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AI IN INSPECTION, METROLOGY, AND TEST

AI/ML is creeping into multiple processes within the fab and packaging houses, although not necessarily for the purpose it was originally intended. The chip industry is just beginning to learn where AI makes sense and where it doesn’t. In general, AI works best as a tool in the hands of.

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AI FOR SOFTWARE TESTING – TRENDS AND ADVANTAGES.

AI-powered software testing has long since made its debut, and as with any cutting-edge technology, it’s here to stay. This isn’t surprising, considering how extensively AI and machine learning are being utilized across the business spectrum, for both large and small tasks. Software testing, on the other hand, has erred.

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AI TESTING: PUSHING BEYOND DFT ARCHITECTURES

Every day, more applications are deploying artificial intelligence (AI) system to increase automation beyond traditional systems. The continuous growth in computing demands of AI systems require designers to develop massive, highly parallel AI processor chips. Their large sizes and types of applications have a significant impact on their design and.

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SOFTWARE QA TESTING: SECRETS FROM A VETERAN QA ENGINEER

Quality Assurance (QA) testing is often done at the end of the software development process. On a recent episode of Dynamic Developer, I spoke with Deborah Lewis, a Lead Quality Assurance Engineer at Red Ventures, about why this is a bad idea. We also talked about the importance of QA,.

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5 BEST PRACTICES FOR MOBILE APP PENETRATION TESTING IN 2021

Cyber threats have significantly increased since every business wishes to have a mobile presence with their own market apps. This ambition has made mobile devices one of the primary entry points for cybercriminals. These applications offer a huge surface area of attack and are often a weak link in an.

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KUBERNETES: 6 OPEN SOURCE TOOLS TO PUT YOUR CLUSTER TO THE TEST

Kubernetes has earned an overall reputation as an extensible and pluggable platform for orchestrating containers. That roughly means that you can use it in concert with many other tools and services if you so choose. This includes a flourishing category of tools built to help you boost the reliability, security,.

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SOFTWARE QA TESTING: SECRETS FROM A VETERAN QA ENGINEER

Quality Assurance (QA) testing is often done at the end of the software development process. On a recent episode of Dynamic Developer, I spoke with Deborah Lewis, a Lead Quality Assurance Engineer at Red Ventures, about why this is a bad idea. We also talked about the importance of QA,.

read more