Complex networks have been intensively studied across many fields, especially in Internet technology, biological engineering, and nonlinear science. Software is built up out of many interacting components at various levels of granularity, such as functions, classes, and packages, representing another important class of complex networks. It can also be studied using complex network theory. Over the last decade, many papers on the interdisciplinary research between software engineering and complex networks have been published. It provides a different dimension to our understanding of software and also is very useful for the design and development of software systems. This paper will explore how to use the complex network theory to analyze sof...
This book deals with the analysis of the structure of complex networks by combining results from gra...
Large collaborative software engineering projects are interesting examples for evolving complex syst...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
Abstract networks [1][18]. Those networks include both those occurring in nature, for example, neuro...
Complex software networks, as a typical kind of man-made complex networks, have attracted more and m...
Complex software systems are among most sophisticated human-made systems, yet only little is known a...
Many large-scale software systems have unprecedented complexity. The basic problem lies in how to co...
This book provides a comprehensive review of complex networks from three different domains, presents...
Given the interdisciplinary nature of complex network studies, there is a practical need for dialogu...
This paper presents a case study of a large software system, Netbeans 6.0, made of independent subsy...
Software systems can be modeled as complex networks in which software components are abstract nodes ...
Network science is a rapidly emerging field of study that encompasses mathematics, computer science,...
Software systems represent one of the most complex man-made systems. In this paper, we analyze the e...
We present a multi-level formation model for complex software systems. The previous works extract th...
Filling a gap in literature, this self-contained book presents theoretical and application-oriented ...
This book deals with the analysis of the structure of complex networks by combining results from gra...
Large collaborative software engineering projects are interesting examples for evolving complex syst...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
Abstract networks [1][18]. Those networks include both those occurring in nature, for example, neuro...
Complex software networks, as a typical kind of man-made complex networks, have attracted more and m...
Complex software systems are among most sophisticated human-made systems, yet only little is known a...
Many large-scale software systems have unprecedented complexity. The basic problem lies in how to co...
This book provides a comprehensive review of complex networks from three different domains, presents...
Given the interdisciplinary nature of complex network studies, there is a practical need for dialogu...
This paper presents a case study of a large software system, Netbeans 6.0, made of independent subsy...
Software systems can be modeled as complex networks in which software components are abstract nodes ...
Network science is a rapidly emerging field of study that encompasses mathematics, computer science,...
Software systems represent one of the most complex man-made systems. In this paper, we analyze the e...
We present a multi-level formation model for complex software systems. The previous works extract th...
Filling a gap in literature, this self-contained book presents theoretical and application-oriented ...
This book deals with the analysis of the structure of complex networks by combining results from gra...
Large collaborative software engineering projects are interesting examples for evolving complex syst...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...