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5 Steps to AI Driven Testing

Artificial intelligence is top of mind for executives seeking game-changing efficiency boosts, especially in software development and IT operations. In those software eating the world domains, data is plentiful — but talent and time are dear. Spanning dev and ops, software testing is as promising a target as could possibly be. It’s a billion dollar…

User Centric Testing (at scale)

We test software so users don’t experience bugs. It follows that all testing should be user centric. This requires intuition and an understanding of design intent when creating tests for new functionality, since users have yet to engage with the new features in a meaningful way. (More on that in a future post.)  Fortunately, the…

The Testing and the Quality

A Parable There was once a software testing department that was understaffed, overworked and way behind. Not a long time ago or in a place far far away, but in a major American city — just last month. Try though they might, this hardy band of testers couldn’t catch up, couldn’t begin to catch up….

User Proven Applications

The best applications are user proven. What do users want? Speed? Elegance? Intuitiveness? Yes to all, but what they most want is reliability. They want an application to do what it’s expected to do, 100% of the time. Let’s face it, not every application is elegant or intuitive. However, suboptimal design and obscure controls are…

Fresh New Appvance.ai Website

New home for The Future of Quality Notice something different? This website has been transformed into a fresh and new one. It’s designed to be easy to peruse, while drawing you in to functional and benefit detail, so I won’t go into much here, instead leaving you to explore on your own. That said, here…

An Ideal AI Use Case

Regression Testing is perfect for AI Artificial Intelligence is all the rage in 2018. Indeed, every software vendor worth their venture capital is touting how AI is infused into their products. Such peak-hype masks the fact that productive uses of AI require appropriate use cases, including the availability of relevant big data from which the...

Continuous Testing: Required, But Not Enough

CI/CD Testing Table Stakes taken Next Level Testing is often ignored when talking about agile, CI/CD and DevOps. And yet, testing is often a major bottleneck in these endeavors. To be successful in any of the above, test must be part of the culture, something done continuously at every build. Ignoring testing in CI/CD is…

Automatic Regression Testing

Long Desired, It’s Finally Here The idea of “automatic regression testing” has been considered for many years, but was stymied by several challenges. Those include wiring regression testing into DevOps to create Continuous Regression Testing, and automatically exercising regression testing protocols against all three categories of test (functional, performance, security). But the primary challenge has…

Traditional Outsourcing Has Met Its Match

AI-Driven Testing Powers a New Model Software testing has been extensively outsourced over the past decade, to save money of course. Accordingly, much of this outsourcing has gone to low labor-cost countries, billed hourly. Unfortunately, that means the outsourcer is not incented to reduce the hours billed, but instead to maximize them. That’s why enterprises…

Labor Shortages Afflict Testing Departments

Test automation's failure created a strange situation. The dirty secret in software testing departments is their shortage of labor. While often self-imposed, many testing departments are nonetheless under-staffed and over-committed. The problem isn’t unique to the United States and Canada, as enterprises in England, Australia and throughout the developed world have long been reluctant to fund...
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