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5 things you can learn from executing your test cases

I believe that most developers do not understand the full potential of unit testing. I also believe that writing unit tests does not have any sense before you know how to do it right (I’ve written about that in another

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5 Signs that you’re doing Unit Testing wrong (+ actions to change that)

While most software projects fail to implement unit testing in a way that actually provides value (time benefit outweighs the time spent for creating and maintaining unit tests), some success stories still exist. Throughout the various projects I’ve worked in

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On the Power of Models

Unclear requirements are still the top reason why IT projects fail. Thus, even if the implementation and verification of requirements are optimized, using techniques such as Mutation Testing [1], Metamorphic Testing [2] or optimized test case definitions [3] that have

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Unit Testing for Startups: Start doing it!

Although Unit Testing is a crucial aspect of every software project, it is mostly neglected in organizations that produce some sort of software nowadays. This is even more true for startups. As they usually start trying out something, there is

Illustration Science Artificial Intelligence
Science says: Software Testing will be about AI in the future

This post briefly summarizes insights into scientific research that indicate that “Unit Testing will be about AI in the future”.   Software Testing has always been a fundamental aspect of research in the area of computer science, and software engineering

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Takeaway message from the second international conference on Artificial Intelligence Testing

In August 2020, the second AiTest conference took place, virtually hosted by Oxford University in the UK (http://ieeeaitests.com/). The focus of this conference is to showcase the current state of (i) how Artificial Intelligence can be used to improve Software

Illustration Artificial Intelligence
AI and Unit Testing: what I learned from 3 years of research!

During my work in a scientific project with the objective to create an “AI-based Testcode Generator”, I went through the last years of research on the integration of Artificial Intelligence (AI) into Unit Testing. In this article, I summarize my

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Limits at which code coverage fails catastrophically

To get a feeling for how much testing is already done, code coverage is often used as a benchmark for how much of the tested system is already covered by automated test cases. When having particular benchmarks of code coverage

Illustration good vs. bad unit tests
Good Unit Tests VS Bad Unit Tests (with C# and NUnit Examples)

In this post, I describe the difference between good and bad unit tests based on some examples created in C# using the NUnit unit testing framework.For these examples, test cases are created based on the following code unit (download example

Illustration - man sitting in front of laptop, big screens with code in the background
The AAA Test Pattern explained with C# and NUnit

Patterns enable code quality also for unit tests. Using the same structure in all of your tests saves most of your time in unit testing on the long run, by helping you and others easily understand the content of test

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