Network analysis of evolving software-systems

Many real-world systems can be represented as networks, such as social networks, Internet, metabolic networks, food webs, neural networks, communication and distribution networks. The same approach can be adopted for the software-systems. Although this topic has been subject of research for some time now, there are still unresolved problems. In our work, we have analyzed ten versions of Java development tool (JDT) evolving open-source software-system, adopting new approach in software engineering that uses a network theory. Statistical analysis of software networks has revealed some properties such as, power-law degree distribution, scale-free and small-world. And our work is based on detecting these properties on an open-source software-system in evolution.