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Same-Sprint Automation: An Interview with Hans Buwalda Hans Buwalda, CTO at LogiGear, discusses how to accomplish same-sprint automation. The testers, automation engineers, and developers are all working in the same sprint, so you can immediately hand off what you are working on and get it into the next phase. Hans also talks about why it’s so challenging to get teams to agree on same-sprint automation, saying the commitment for the sprint needs to come from the team as well as the business.
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I need help developing a test strategy for UAT of Loyalty Points System. I'd appreciate any guidance on how to approach testing. I need help. I don't have very clear requirements and I have never tested a loyalty points system before. I need to design the test cases for the users to execute UAT. Any pointers?
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How Continuous Testing Is Done in DevOps DevOps does speed up your processes and make them more efficient, but companies must focus on quality as well as speed. QA should not live outside the DevOps environment; it should be a fundamental part. If your DevOps ambitions have started with only the development and operations teams, it’s not too late to loop in testing. You must integrate QA into the lifecycle in order to truly achieve DevOps benefits.
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What are the best approaches to reduce production defects in software development? I want to know the best approaches (Automated UAT, Regression testing, Retesting, etc.) to reduce production defects in software development.
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What are the testing challenges that banking and financial organizations might encounter while implementing FLEXCUBE? I want to know the testing challenges that the banking and financial services sector might encounter while implementing FLEXCUBE to address a bank's core banking needs. Also, I want to know a list of recommended software used in the banking sector.
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Blending Machine Learning and Hands-on Testing As your QA team grows, manual testing can lose the ability to focus on likely problem areas and instead turn into an inefficient checkbox process. Using machine learning can bring back the insights of a small team of experienced testers. By defining certain scenarios, machine learning can determine the probability that a change has a serious defect, so you can evaluate risk and know where to focus your efforts.
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From NPR to AI: An Interview with Davar Ardalan Davar Ardalan, founder and storyteller-in-chief of IVOW, talks about how her experience working at NPR helped her launch an AI and storytelling startup. She also discusses how testers, QA analysts, and software engineers are on the front lines of working with users and understanding user engagement, and she explains the importance of finding ways to collaborate with them.
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5 Key Elements for Designing a Successful Dashboard When you’re designing a dashboard to track and display metrics, it is important to consider the needs and expectations of the users of the dashboard and the information that is available. There are several aspects to consider when creating a new dashboard in order to make it a useful tool. For a mnemonic device to help you easily remember the qualities that make a good dashboard, just remember the acronym “VITAL.”
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A Testing Culture in DevOps: An Interview with Adam Auerbach Adam Auerbach, head of testing at EPAM Systems, discusses testing in DevOps and why it’s important we instill a testing culture in DevOps organizations. He says DevOps is about enabling teams to do things on their own, and he gives recommendations for some general metrics that teams can start with to measure speed and efficiency.
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Risk Coverage: A New Currency for Testing In the era of agile and DevOps, release decisions need to be made rapidly—preferably, even automatically and instantaneously. Test results that focus solely on the number of test cases leave you with a huge blind spot. If you want fast, accurate assessments of the risks associated with promoting the latest release candidate to production, you need a new currency in testing: Risk coverage needs to replace test coverage.
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