Dataset designing of software architectures styles for analysis through data mining clustering algorithms

Software architecture is an important part of the software systems which states that how multiple components of the system interact with each other. There are multiple architecture styles in software engineering, such as Object Oriented, Client-Server, CORBA, Repository, Event-based, Interpreter. This research article provides a concept of a novel data set designing which defines the architectures of software systems based on architecture styles. As there is no such data set available so hence this article will enable researchers and software industrialists to define their own data set of their organizations for analyzing the projects through data mining approaches. The research also performs clustering algorithms on the proposed data set with RapidMiner Studio tool for interesting analysis.