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TDD saved the day

Xebia

To tackle each operation, I started with a small test, following the principles of Test-Driven Development (TDD). If the tests became too complex, I knew something was missing. This description takes the form of a test. Then, you implement a portion of the code that fulfills the test’s requirements.

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The Real Reasons for Doing Test-Driven Development ??

Xebia

Why do people apply TDD? Here’s a secret: it’s not for the tests. Learn about the actual goal and values hidden under the surface of Test-Driven Development. What Are the Real Reasons for Doing TDD? Test-Driven Development (TDD) is a controversial topic amongst developers. Feedback on what?

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When TDD Is Not a Good Fit

Henrik Warne

I like to use Test-Driven Development (TDD) when coding. However, in some circumstances, TDD is more of a hinderance than a help. Writing tests only makes sense after the solution is viable. Last week, I came across examples of where I developed new functionality without using TDD. Avoiding Premature Tests.

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5 ways to do Continuously Improved Testing

Xebia

In many organizations, automated testing lags behind and becomes a bottleneck for successful continuous delivery. Either tests do not provide enough confidence or companies take a very traditional approach, resulting in releases either introducing substantial risks or becoming costly. These principles tell us our tests should be: Fast.

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Agile, Stand-ups, TDD and Code Reviews

The Programmer's Paradox

As a great example, Stand-ups always come to mind. We see the same kinda thing with unit testing. Clearly, the best way to test any software is with fully automated ‘systemtesting that is thorough enough that it can be used for full regression testing. It just doesn’t scale up or formalize properly.

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment. Let’s look at a couple of real-life examples, which illustrate this complexity. A combination of factors led to this failure.

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Bobidi launches to reward developers for testing companies’ AI models

TechCrunch

In the rush to build, test and deploy AI systems, businesses often lack the resources and time to fully validate their systems and ensure they’re bug-free. In a 2018 report , Gartner predicted that 85% of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing them.