InfoQ Homepage Testing Content on InfoQ
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The Tester’s 3 C’s: Criticism, Communication and Confidence
Dorothy Graham covers different types and styles of communication, including Virginia Satir’s communication interaction model, and the need for balance in criticism and confidence.
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Debuggable Deep Learning
Mantas Matelis, Avesh Singh explain how they debugged DeepHeart, a DNN that detects cardiovascular disease from heart rate data.
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DevOps and People: Where Automation Begins!
Almudena Rodriguez Pardo takes a look at some scenarios where developers and operators go for broke in order to achieve a DevOps success story.
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A Test of Strength
Chris Oldwood discusses writing good (strong) tests, but also how devs need to be “strong” (in character) to make that happen.
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What Lies between: the Challenges of Operationalizing Microservices
Colin Breck presents practical approaches to take microservices into production or increase the value provided by existing systems and also explores how to integrate microservices at scale.
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Five Ways to Boost Automation Effectiveness
Nikolaj Tolkačiov discusses test data, maintenance less implementation, locator injections, test scripts developing environment, effective and scalable Gherkin implementation, and much more.
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How Could I Miss That Defect? Inattentional Blindness
Andrew Brown discusses why some defects slip unnoticed to testers, explaining how to notice or pay attention to an event or object.
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Quality Engineering in DevOps
Geoffrey van der Tas keynotes on testing in the DevOps world, covering practices to keep, habits to forget, new things to learn, and the need for manual testing.
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Spot the Difference; Automating Visual Regression Testing
Viv Richards looks at why to automate tests, the issue with just manually testing, common end to end automation pitfalls, along with an introduction to visual testing.
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Blunders in Test Automation
Dorothy Graham discusses several testing blunders, including: Testing-Tools-Test, Silver Bullet, Automating the Wrong Thing, Who Needs GPS, How Hard Can It Be, and the Stable-Application Myth.
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BDD and the New Model for Testing
Paul Gerrard proposes a model of the thought processes that every tester uses which maps directly to the BDD way, helping practitioners understand the BDD collaboration and test process.
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Test-Driven Machine Learning
Detlef Nauck explains why the testing of data is essential, as it not only drives the machine learning phase itself, but it is paramount for producing reliable predictions after deployment.
