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Pros and Cons of Codeless Test Automation To create automated tests for software applications, testers have historically needed to be able to code in programming languages. Codeless testing eliminates the need for scripting from scratch every time, but in addition to its advantages, there are also some drawbacks. Is codeless automation right for your team? |
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2 Ways to Get Better at Test Automation Many people in testing roles want to grow their skills and learn to build some tests with code. But no matter how well you test, automation is programming work. If you want to get better at automation, your best bet is to get into a role where you are dealing with code. Here are two ways you can break in and learn. |
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Shaking Up Software Testing with AI: A Slack Takeover with Tariq King Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. Tariq King, founder and CEO of Selftest IO, hosted this Slack takeover and discussed all things AI, including using it with legacy systems, how it affects test strategy, and boosting your tests. |
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A Framework for Scaling Continuous Testing across an Enterprise Scaling agile and DevOps across a large enterprise is much more difficult than practicing it in smaller groups. Frameworks can help, but focus tends to be placed on development, so testing teams struggle to figure out how to best support faster development cycles. The ACT Framework puts the focus on continuous testing. |
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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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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. |