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2 Ways to Know Your Work Is Actually Done Some people think a good indication that a piece of work is done is if it's been tested. But by whom, and how? Testing alone doesn’t specifically determine whether you are done—especially when we probably don’t mean the same thing when we all talk about testing. Here are two ways to know when your work is truly done. |
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Trusting Your Data: Garbage In, Garbage Out Poor quality input will always produce faulty output. Improper validation of data input can affect more than just security; it can also affect your ability to make effective business decisions. Bad data can have impacts on how you make quantitative decisions or create reports, if you can’t trust the data you receive. |
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Great Testing Comes from Great Questions Testing is all about gathering information, and the most direct way to gather information is by asking questions. The more questions we ask (tests we perform), the more answers we receive (information we gain). But some questions are harder than others and require more human involvement. Let automation handle the easy! |
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Building Good Scrum Habits Building good habits is an important part of an effective Scrum team. Habits are a form of automation: The more basic processes we can automate, the more we can focus our energy on hard things. The Scrum process, with its focus on rituals, helps us by providing a framework for collaboration and making it second nature. |
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Tips for Getting an Agile Transformation Off the Ground Many agile transformations are doomed before they even begin. Organizations focus on the wrong things up front, resulting in a poorly planned effort that doesn’t deliver business value. Here are some tips to get things started the right way, including how to communicate well, define roles, and change your culture. |
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A Software Testing Primer When development teams are pressed for time or budget, testing is often the first activity squeezed out. But testing will actually save you money in the long run. This story gives the basics of why it's crucial to test early and often, the types of testing you should perform, and how to get proactive against bugs. |
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AI and Machine Learning: Revolutionizing App Development Artificial intelligence and machine learning are the new disruptors that will define app growth in the future. Cutting-edge features developed using these technologies can help give your app the edge over competition with exciting and useful new abilities. Here are some of the benefits to making your app a smart app. |
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Testers Must Use Team Connections to Enable Quality The quality team has the greatest reach in its visibility and ability to connect with all other engineering and non-engineering teams. For a tester to realize their fullest potential, they need to acknowledge and leverage this reach by communicating and collaborating with all other teams to create the best product. |
