In software engineering, there is a focus on creating quality code. However, what exactly quality code is and how this is measured is not a trivial question. There are software metrics that try to capture this quality. These metrics can be programming language agnostic or focused on a specific programming paradigm like object-oriented or functional. In recent years more traditional object-oriented languages introduced more functional features.
Recent research evaluated how well existing object-oriented metrics work on this new multi-paradigm code. Furthermore, new metrics have been defined with a focus on multi-paradigm code. This thesis will continue with this research by using one of the fundamental principles of functional programming, namely functional purity, as a metric.
To achieve this we need a way to calculate a purity metric from csharp code. For this, we combined multiple methods from different studies to create a purity metric that captures a function’s purity. We evaluated this purity metric against existing object-oriented and functional metrics. In our testing, it performed better at predicting error-prone code than existing object oriented or functional metrics.