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The complexity nature of large-scale software systems 被引量:1

The complexity nature of large-scale software systems
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摘要 In software engineering, class diagrams are often used to describe the system's class structures in Unified Modelling Language (UML). A class diagram, as a graph, is a collection of static declarative model elements, such as classes, interfaces, and the relationships of their connections with each other. In this paper, class graphs axe examined within several Java software systems provided by Sun and IBM, and some new features are found. For a large-scale Java software system, its in-degree distribution tends to an exponential distribution, while its out-degree and degree distributions reveal the power-law behaviour. And then a directed preferential-random model is established to describe the corresponding degree distribution features and evolve large-scale Java software systems. In software engineering, class diagrams are often used to describe the system's class structures in Unified Modelling Language (UML). A class diagram, as a graph, is a collection of static declarative model elements, such as classes, interfaces, and the relationships of their connections with each other. In this paper, class graphs axe examined within several Java software systems provided by Sun and IBM, and some new features are found. For a large-scale Java software system, its in-degree distribution tends to an exponential distribution, while its out-degree and degree distributions reveal the power-law behaviour. And then a directed preferential-random model is established to describe the corresponding degree distribution features and evolve large-scale Java software systems.
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2006年第11期2489-2495,共7页 中国物理B(英文版)
基金 Project supported by the National Natural Science Foundation of China (Grant Nos 60374057 and 50575204).
关键词 software system degree distribution power-law behaviour exponential distribution software system, degree distribution, power-law behaviour, exponential distribution
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