A Generative Model of Software Dependency Graphs to Better Understand Software Evolution

by Vincenzo Musco, Martin Monperrus and Philippe Preux
Abstract: Software systems are composed of many interacting elements. A natural way to abstract over software systems is to model them as graphs. In this paper we consider software dependency graphs of object-oriented software and we study one topological property: the degree distribution. Based on the analysis of ten software systems written in Java, we show that there exists completely different systems that have the same degree distribution. Then, we propose a generative model of software dependency graphs which synthesizes graphs whose degree distribution is close to the empirical ones observed in real software systems. This model gives us novel insights on the potential fundamental rules of software evolution.
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Vincenzo Musco, Martin Monperrus and Philippe Preux, "A Generative Model of Software Dependency Graphs to Better Understand Software Evolution", Technical report, arXiv 1410.7921, 2014.
A Generative Model of Software Dependency Graphs to Better Understand Software Evolution
https://arxiv.org/pdf/1410.7921.pdf
[A Generative Model of Software Dependency Graphs to Better Understand Software Evolution](https://arxiv.org/pdf/1410.7921.pdf)
\href{https://arxiv.org/pdf/1410.7921.pdf}{A Generative Model of Software Dependency Graphs to Better Understand Software Evolution} % \cite{1410.7921}

Bibtex Entry:

@techreport{1410.7921,
 title = {A Generative Model of Software Dependency Graphs to Better Understand Software Evolution},
 year = {2014},
 author = {Vincenzo Musco and Martin Monperrus and Philippe Preux},
 url = {https://arxiv.org/pdf/1410.7921.pdf},
 number = {1410.7921},
 institution = {arXiv},
}
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