Stochastic Petri nets and inheritance for dependability modelling

Simona Bernardi, S. Donatelli
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引用次数: 11

Abstract

Reuse is a well-known and widely accepted principle in design and programming, that is instantiated through two main means: modularity and inheritance. Modularity allows a function or a data type and associated functions to be reused, while inheritance is based on the idea that a set of common features of a type can be factorized into a common supertype. While modularity has been widely exploited in performance and dependability modelling, inheritance is instead pretty much a "still-to-investigate" topic for this field. We discuss the role of inheritance in stochastic Petri nets (SPN) modelling, by considering a representation of the fault, error, and failure (FEF) chain based on hierarchies of classes (in the class diagram formalism of UML) and corresponding hierarchies of SPN models.
可靠性建模的随机Petri网与遗传
重用是设计和编程中众所周知且被广泛接受的原则,它通过两种主要方式实现:模块化和继承。模块化允许重用函数或数据类型以及相关的函数,而继承基于这样一种思想,即可以将类型的一组公共特性分解为公共超类型。虽然模块化在性能和可靠性建模中得到了广泛的应用,但继承在这个领域中仍然是一个“有待研究”的主题。通过考虑基于类的层次结构(在UML的类图形式化中)和SPN模型的相应层次结构的故障、错误和失败(FEF)链的表示,我们讨论了继承在随机Petri网(SPN)建模中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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