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Saving Birdsong: Using Machine Learning to Monitor Kiwi Birds and Possums In an attempt to turn birdsong and predator monitoring into data that can help improve pest trapping ability, the Cacophony Project is an open-source conservation project employing technologies such as embedded systems, web applications, backend services, and machine learning pipelines. |
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The Challenges with Open Source Software Using open source software is all the rage these days, and for good reason. Often teams don’t have the budget to purchase commercial tools, and without an open source solution, their productivity suffers. But open source is not a panacea. There are some challenges that can hit you hard if you aren’t careful. |
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Solving Problems and Seeking Solutions on an Agile Team While teams are composed of individuals, all of whom solve problems and make decisions, people on consistently successful teams understand that they can be more effective when the focus is on the team, not the individual. Making the best decisions collectively delivers the most value to customers in the long run. |
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4 Reasons to Use Cloud Testing for Digital Transformation Cloud computing makes data access more reliable and efficient, with less administration effort required, so testing in the cloud can accelerate your digital transformation. This helps guarantee quality and decrease time to market. Here are four more reasons to consider cloud testing for your digital transformation. |
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Agile Collaboration on Remote Teams The first value in the Agile Manifesto is “Individuals and interactions over processes and tools,” and for many teams, being located in the same place facilitates these interactions. However, being part of an effective, collaborative team is less about location than it is about motivation and good practices. |
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6 Signs Your Agile Project Isn’t Really Agile There's a trend of organizations declaring they are agile without actually changing how they develop software. Declaring that an apple is an orange doesn’t make it so. These six key indicators can help you determine whether your agile project isn’t really agile after all—and give you some solutions to help. |
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Making Testing Visible Most testing work is invisible—something that happens inside your head and leaves no artifacts behind. This generally leaves testers feeling like no one understands what they do all day. Here are some ideas for collaborating with your coworkers so they can see—and start to understand—your testing work. |
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Agile and DevOps Bring the Focus Back on Quality As companies move to agile and DevOps, silos are coming down and there is more interaction and collaboration among teams. Quality is also becoming everyone's responsibility for the entire software development lifecycle. Quality is more than just testing: Consider a quality value stream along the overall value chain. |