Unit Tests: Understanding False Positives and False Negatives

As a software developer, unit tests are an indispensable part of our daily work. They help us verify the correctness of our code and detect bugs early in the development cycle. However, like any testing system, unit tests can be flawed and lead to incorrect conclusions. In this article, I’ll explain the concepts of False Positives and False Negatives in the context of unit tests and illustrate these with truth tables.

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The title of this article is no mistake. Anyone who has looked at the FreshMarker Random plugin recently will probably have discovered the new sentence and paragraph built-ins. These two bilt-ins support the library with the generation of the famous Lorem Ipsum pseudo-texts. Without delving deep into history, the Lorem Ipsum texts are a corruption of a Cicero text and serve as dummy texts.

FreshMarker – Groundhog Day

The moment is a wonderful thing, but not for software developers, because it keeps on moving. How can you write a test if the value changes with every test run? Functionality has always been an abomination that concealed some form of now. In FreshMarker, for example, this little monster can be found in the built-in variable .now.

FreshMarker Version Variable Fixes

FreshMarker is strongly characterised by KISS and YAGNI. This makes the template engine lean and yet powerful. But in some places, the simplicity leads to careless mistakes.

In the first versions, the system variable .version was defined as a constant for the FreshMarker version. Unfortunately, this meant that the version number was regularly forgotten to be updated before the release.

Consumer Contract Testing

Anyone who has ever worked with Web APIs, and who hasn’t, will be aware of the difficulties of testing in an API environment. When testing an API, there are two sides to consider, that of the producer and that of the consumer. If both do not work hand in hand, then problems are inevitable. Consumer contract tests are designed to avoid some of the difficulties in API testing.

Mutation Testing

Java Bibliotheken

When I first heard about mutation testing, I was – to put it kindly – very confused. The idea that we change our code to see which tests fail doesn’t look particularly promising at first glance. But if you take a closer look at the approach, you realize the potential it holds.