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Choosing the Right Tools for the Job The saying “If all you have is a hammer, everything looks like a nail” summarizes a cognitive bias we have to use tools that are most familiar to us, even if they are the wrong tools for the job. Software professionals often fall into this trap. Here are some tips on how to choose the right tools for your projects. |
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Visual Regression Testing: A Critical Part of a Mobile Testing Strategy Despite our best efforts to replicate customers' behavior in our test automation suites, teams often forget about nonfunctional requirements. An important one is visual perception—how users see and feel each application they use. Visual regression testing can fill a significant gap in user experience expectations. |
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FDA Explores Review Framework for AI-Based Medical Devices As more medical devices are developed that employ artificial intelligence and machine learning software that can learn from real-world feedback and adaptation, the FDA announced it is taking steps to explore a new medical device regulatory framework. The goal is creating safe, beneficial, innovative medical products. |
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Using AI to Protect the Earth’s Species In addition to the many ways artificial intelligence and machine learning technologies are changing our everyday life, can they also help save our world? To safeguard the lives of millions of species in our world today, the campaign for Earth Day 2019 is “Protect Our Species,” and AI is already having an impact. |
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Continuous Security in Agile Development "Continuous" gets mentioned a lot in agile and DevOps, but one area that often doesn’t get enough attention is how to continuously build, test, and deliver secure applications. Just like for quality, you can’t test security in, so you need to have a plan for how to build it in. Here are some tips on how to do that. |
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The Developer’s Role in Testing and Quality Of course a developer's primary job is to produce good code, but there's also a lot they can do to contribute to quality and test their code before it gets to a tester. Code quality techniques help developers write better code, more thoroughly understand their changes, and avoid builds with many easy-to-find problems. |
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Developing Artificial Intelligence Systems for Dynamic Environments From navigating unfamiliar terrain and dangerous weather conditions to working in risky situations, AI could be of enormous aid to first responders and the military if AI systems could react appropriately when something significant and unexpected occurs, without needing to be retrained on a large data set. |
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Bringing Empathy into Quality Engineering Testers have always been advocates for the end-user. But there are now more opportunities to be that advocate, including emotional intelligence-based testing and role-based testing, which form a critical part of empathetic testing. Building empathy into our software engineering process ends up benefiting everyone. |