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The AI Testing Singularity Machine learning is rapidly growing more powerful, already sometimes imitating the actions and judgments of humans better than humans. In the near future, even before machines are conscious, they will be able to mimic human software testers. What will be the impact of AI on testing? Jason Arbon has a bunch of ideas. |
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Leveraging Kubernetes as a Tester Kubernetes is a scalable, production-grade container orchestration tool with automated deployment, scaling, and management capabilities. Using it shortens the feedback loop and enhances communication. Here’s how testers can leverage Kubernetes to quickly gauge application quality and speed up the delivery of value. |
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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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NSA Adds to Open Source Tools and Tech Transfer Program The National Security Agency recently released several of the agency’s software tools as open source and added new technologies to the NSA technology transfer program patent portfolio that are ready for licensing. Could leveraging any of these technologies help your efforts? |
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Robotic Process Automation in Software Testing Robotic process automation (RPA) systems develop a list of actions to automate a task by watching a user perform that task in the application's GUI, and then repeating those tasks directly in the GUI. But RPA tools differ from other tools because they can handle data among multiple applications—including for testing. |
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DevOps Red Flags: A Slack Takeover with Melissa Benua Thought leaders from the software community are taking over the TechWell Hub for a day to answer questions and engage in conversations. Melissa Benua, who's worked in dev, test, DevOps, and program management, hosted this Slack takeover and discussed DevOps adoption, red flags, and continuous delivery and deployment. |
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Integrating Threat Modeling into Agile Development Threat modeling helps you determine where to focus your security testing efforts when building your app. But people often wonder how it can fit into their existing agile software development process. Here are three things you can do to integrate threat modeling into your agile workflow, either early on or mid-project. |
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Merging New Codeless Test Automation with Your Existing Code-Based Test Scripts Adopting a codeless solution can be an amazing boost to quality, productivity, and tester career growth, but in most organizations, such test suites will have to be merged into existing code-based test scripts. To succeed, developers, testers, and management all should consider the differences between the two options. |