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The Layers in the Test Automation Journey Test automation is not just a bunch of automated scripts to be written and handed off. The scripting process, though important, is just an inner layer embedded deep within the whole. There are several more layers that are important in showcasing the true value of the automated scripts. You need to understand all layers. |
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How AI and Machine Learning Are Revolutionizing the Manufacturing Industry Manufacturing tasks used to be manual up until the Industrial Revolution. We’re now experiencing another revolution, with technology making processes easier, faster, and more efficient. Today, artificial intelligence and machine learning are automating machine maintenance, optimizing inventory, and even helping out humans. |
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Why Setting Priorities Is a Core Agile Practice Every aspect of agile includes prioritization. The most important user stories are implemented first. Testing is prioritized to make sure features valued by customers are tested the most. Even everyday tasks are prioritized during daily standups. Here are three reasons setting priorities is essential to success in agile. |
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Prioritizing Invisible Work There are work items that will give the team an operational boost and perhaps avoid a crisis, but that never make it to the top of the priority list—like build and deployment improvements, or paying down technical debt. For enabling work that is valuable but too invisible to be a priority, consider breaking it down. |
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Team Agility in a Post-Pandemic World COVID-19 has necessitated entirely remote environments, and people the world over have had to inspect their foundations of working, adapt to a new way of remote execution, and integrate their personal and professional lives more than before. Organizational leaders need to embrace a new outlook in four critical areas. |
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What’s the Problem with User Stories? Agile projects focus on very lightweight, simple requirements embodied in user stories. However, there are some problems with relying solely on user stories. They often don't contain enough accuracy for development, testing, or industry regulations. There's a better way to write detailed requirements that are still agile. |
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Ditch Your Logs for Better Monitoring Metrics Many teams use logs to track the behavior of applications, services, or platforms. But how actionable is that log data? There are better ways to parse that information and make it more visible, more useful, and easier to understand. Try converting your logs into metrics for a faster and more lightweight monitoring system. |
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Testing in the Dark Requirements only go so far in identifying areas to test. Sometimes testers are given no information at all, leaving it up to them to determine what to test. Don’t accept the need to indiscriminately test with no clear understanding. Your testing should be targeted, and these techniques will help focus your test effort. |
