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Architecting Your Test Automation Platform With all the pressure to “just automate,” we may not invest enough in architecting our test automation. You wouldn't remodel a house without doing some planning and design; our test automation journey should be treated no differently. A comprehensive architecture plan is crucial for increasing test automation coverage. |
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Top 10 TechWell Insights Stories of 2019 Career development was on many software practitioners' minds in 2019, as some of our top stories were about having a technical lead on a Scrum team and making the switch from quality assurance to quality engineering. Stories about new ideas such as DevOps and continuous testing also ranked high. Check out the roundup. |
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How to Make Sure Your Website Is Fully Accessible Ensuring accessibility to websites, applications, tools, platforms, and other forms of technology is not only a legal requirement; it should also be a social responsibility of web developers, testers, and other software professionals. Here are some basic recommendations to keep in mind to make any website accessible. |
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When to Use MapReduce with Big Data MapReduce is a programming model for distributed computation on big data sets in parallel. It's a module in the Apache Hadoop open source ecosystem, and a range of queries may be done based on the algorithms available. Here's when it's suitable (and not suitable) to use MapReduce for generating and processing data. |
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Security Testing: A Constructive Mindset with a Destructive Approach A typical tester mimics end-users, who are constructive when exploring an application’s functionality. But the role of a security tester is different. Their focus is mainly on mimicking hackers, who are intentionally destructive. A solid security strategy should balance both constructive and destructive efforts. |
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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! |
