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Machine Learning and Deep Learning: What's the Difference? Many people think that machine learning and deep learning are each just a fancy way to say artificial intelligence, but that is a misconception. Both terms represent subsets of AI technology, but they are different, and their differences dictate the functionality and application of these two software solutions. |
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To Be a Better Tester, Ask the Right Questions Critical thinking is a core trait a software tester needs to succeed, and asking questions is a great skill to help. Questioning brings out the required information, breaks assumptions, and enables everyone on the team to give their perspectives. But there's an art to asking the right question at the right time. |
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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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Testing Is Insurance, Not Assurance The Iowa Democratic Party used a mobile app to pull results from statewide precincts for the Iowa caucus. But the app was not properly tested or deployed, and it turned into a high-profile tech disaster. When deadlines loom, release testing is often what gets cut, but this situation shows why it's a crucial activity. |
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Why You Should Treat Tests as Products There's a case for treating some of your tests as products—project deliverables in their own right, created as a business investment. "Productizing" tests can show their value to management, but more importantly, it can help them contribute more effectively to the development lifecycle. Here are four steps to consider. |
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Defect Reporting: The Next Steps When a software defect is identified, best practices usually only pertain to the initial writing of the defect, not the tasks required to close it. Many factors can influence the tester's work. The solution is to add a “Next Steps” section that identifies the work remaining and the person responsible for completing it. |
