Petri-Net模型情景分析

Edgar Sarmiento, Julio Cesar Sampaio do Prado Leite, Eduardo Almentero
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引用次数: 4

摘要

需求分析在软件开发过程中起着关键的作用。基于场景的表示通常用于软件需求规范(SRS)。用自然语言编写的场景可能模棱两可,有时甚至不准确。这个问题部分是由于场景之间的交互很少被显式表示。当场景被用作软件开发过程(SD)后续活动的输入时,启用它们的分析是非常重要的,特别是检测由于错误或缺少信息而导致的缺陷或问题。这项工作提出了一种基于Petri-Net的方法,作为分析获取场景的有效方法。为了实现自动化分析,场景被转换成等效的Place/Transition Petri-Nets。场景及其生成的Petri-Nets可以自动分析,以评估与正确性、一致性和完整性相关的一些属性。已识别的问题可以追溯到场景,从而允许对其进行修订。我们还讨论了如何使用NFR方法将基于场景的srs的正确性、一致性和完整性分解为相关属性。通过两个运行实例验证了该方案的可行性。
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Analysis of Scenarios with Petri-Net Models
Requirements analysis plays a key role in the software development process. Scenario-based representation is often used for software requirements specification (SRS). Scenarios written in natural language may be ambiguous, and, sometimes, inaccurate. This problem is partially due to the fact that interactions among scenarios are rarely represented explicitly. As scenarios are used as input to subsequent activities of the software development process (SD), it is very important to enable their analysis, especially to detect flaws or problems due to wrong or missing information. This work proposes a Petri-Net based approach as an effective way to analyze the acquired scenarios. To enable the automated analysis, scenarios are translated into equivalent Place/Transition Petri-Nets. Scenarios and their resulting Petri-Nets can be automatically analyzed to evaluate some properties related to correctness, consistency and completeness. The identified problems can be traced back to the scenarios, allowing their revision. We also discuss how correctness, consistency and completeness of scenario-based SRSs can be decomposed in related properties using the NFR approach. Proposal's workability is demonstrated through two running examples.
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