The analysis of software evolution by means of mining public repositories has been established as one of the dominant approaches for empirical studies in software engineering. However, even the investigation of the simplest research question demands a mazy process involving installation and configuration of tools, climbing their learning curve and tedious collection of desired information. Acknowledging the need for effortless querying of remote repositories we introduce a Web-based 'one-click approach' to perform software evolution analysis of Git projects.

The rise of social networks and the accompanying interest to study their evolution has stimulated a number of research efforts to analyze their growth patterns by means of network analysis. The inherent graph-like structure of object-oriented systems calls for the application of the corresponding methods and tools to analyze software evolution. In this paper we investigate network properties of two open-source systems and observe interesting phenomena regarding their growth. Relating the observed evolutionary trends to principles and laws of software design enables a highlevel assessment of tendencies in the underlying design quality.

Evolving software systems can be systematically studied by treating them as networks and employing ideas and techniques from the field of Social Network Analysis. SEANets is an Eclipse plugin that allows the analysis of multiple software versions and the extraction and visualization of network properties required to investigate evolutionary trends of the underlying system.