保证对长尾变化的正确反应:一种语法导向的注释方法

Hongmei Cao, Xi Chen, Liang Zhang, Tiange Zhang, Xiaochun Xiao
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引用次数: 3

摘要

为了应对长尾变化,提出了一种基于注释的BPM方法来及时调整其行为。它修补现有的业务流程模型,而不是从头开始重新构建模型,这节省了工作量,并对不可预见的更改快速做出反应。但是,原始的基于注释的方法可能会添加不正确的注释,从而导致意想不到的效果或导致失败。为了弥补这一漏洞,本文提出了一种语法导向的注释方法来保证声音反应。提出了一种基于抽象语法树的领域特定语言设计方案,并自动生成面向语法的编辑器。因此,就领域特定语言而言,流程模型上的所有补丁注释都得到了可靠的保证。案例研究表明,建议的方法和工具可以帮助领域专家更容易地处理长尾变化,保证正确的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guaranteeing Sound Reactions to Long-Tailed Changes: A Syntax-Directed Annotation Approach
To cope with the long-tailed changes, an annotation-based BPM approach has been proposed to adapts its behavior in a timely manner. It patches existing business process models rather than rebuilds models from scratch, which saves efforts and reacts to unforeseen changes quickly. However, the original annotation-based approach is at risk of improper annotations added that results in unexpected effects or leads to failure. To remedy this loophole, this paper proposes a syntax-directed annotation approach to guarantee sound reactions. we develop a scheme for designing domain specific languages based on abstract syntax trees and generating a syntax-directed editor automatically. As a result, all patched annotations on the process models are soundness guaranteed in terms of the domain specific language. Case studies demonstrate that proposed approach and tools can help domain experts to tackle long-tailed changes more easily guarantee the correct reactions.
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