A Tool for Clustering-based Aspect Mining through Fan-in Calculation

Since the size and overall complexity of the software system have been increasing, the existing program has to be modularized on the basis of separation of concerns, so aspect oriented programming tries to address the existing program by modularizing the crosscutting functionality into more precise and manageable modules known as aspects. We have proposed a tool Aspect-CAM (Clustering-based Aspect Mining) through fan-in calculation dynamically, which produces the crosscutting concerns or clusters of the existing object-oriented program by fan-in calculation. We have calculated the fan-in matrix of every function with every class and then Euclidean distance matrix among functions to create different crosscutting concerns.Different views: list view, matrix view and including graph view have been presented which shows the new clusters of the existing Object-Oriented Program.