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Rookie Mistakes in Data Analytics It's easy to make simple mistakes in data analysis. But these little mistakes can result in rework, errors, and—in the worst case—incorrect conclusions that lead you down the wrong path. Making small process changes can help you steer clear of these mistakes and end up having a real impact, both in the amount of time you spend and in your results. Here are some tips for avoiding rookie mistakes in data analytics. |
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Separating Automation Tooling from Automation Strategy When people do not have good luck with automation, it is hardly ever because of the tool being used, but almost always because of the wrong automation strategy, wrong expectations, and wrong adoption of automation. Automation tools only answer the “how” of automation, while having an automation strategy gives answers to who, where, when, what, and why. Here's why it's so important to have a test automation strategy. |
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Sponsored Article: Enhancing Your Selenium Testing Selenium has widespread adoption as a test automation tool, but it comes with some challenges. We talked to some experts in the test automation industry about Selenium’s reign as the tool of choice for UI testing, whether that crown is warranted, and what they think is important for teams to focus on when it comes to their test automation efforts. Then, Parasoft talks about how teams can solve UI testing challenges and make Selenium more maintainable with its new product, Parasoft Selenic. |
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Racing against Time with Test Automation When you are running against time but still cannot afford to cut corners while testing, automation is a good solution. You can release high-quality software within a short span of time, detect more errors and bugs, and align your testing with agile development. Here’s how you can set up an automated testing initiative to overcome delivery challenges and improve your testing outcomes. |
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Tackling Testing Challenges in an Agile Transition Even though jumping onto the agile bandwagon is tempting for businesses, it is not always easy, and a transition to agile is likely to come with a slew of challenges for testing in particular. In order for agile to enable delivery of quality products at speed, testing has to begin much earlier in the process than ever before. Enabling certain practices will help your organization achieve a more successful transition to agile testing. |
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An Introduction to Web Optimization Testing When testing websites, most software testers check the functionality and the UI of the page. But webpage optimization is another area that should get consideration. There are a variety of factors, such as relevance and readability, that search engines consider in webpages before assigning a position in search results, and testers can help positively influence this ranking by increasing site speed and removing blockers to usability. |
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JUnit vs. TestNG: Choosing a Framework for Unit Testing There are multiple frameworks available for unit testing, and for any type of programming language. For Java developers, JUnit and TestNG are the most widely used. These frameworks are siblings and have the same test roots, and the debate over which is better is complex. Let’s look at how these two testing frameworks are different from each other, and which framework is better suited for your unit testing. |
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Embedding Security in a DevOps World Faster DevOps processes also create new challenges. It was difficult enough to add security into a traditional waterfall software development lifecycle with monthly or quarterly releases, but now software updates are released several times a day! What can developers do to build and maintain more secure applications? Here are some ways to encourage better security practices throughout the DevOps lifecycle. |
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Bringing Continuous Testing to Your Organization Continuous testing means all your tests are executing all the time, providing continuous feedback into the quality and health of your applications. In order to achieve continuous testing, you must first adopt the right test automation strategy. Understanding how to bring in all different types of test automation practices as efficiently as possible enables you to get started down the path of continuous testing. |
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Using Computer Vision to Reduce Test Automation Blind Spots The standard test automation toolkit easily completes web and mobile automation, but it fails to detect elements on desktop and mobile content-based applications. Computer vision (CV) replicates the human eye using deep learning technology and can determine objects in pictures, which helps machines orient in space and perform repetitive detection tasks. Let's see how CV can help automate the testing of a much wider software product list. |
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