交互多agent模型与MDA更高抽象层次的自动对齐

Nassim Kharmoum, Sara Retal, Karim El Bouchti, Wajih Rhalem, Soumia Ziti
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引用次数: 1

摘要

随着软件部门的大规模增长以及最终用户的不稳定需求,基于代理的信息系统和模型驱动架构(MDA)方法是最近十年中出现的最活跃和最重要的实验和改进领域之一。在这种情况下,我们在这项研究中提出了一种创新的方法,该方法可以在MDA最高抽象层次上,从业务需求工程模型中自动化交互多代理模型的构建和生成过程。因此,我们的挑战是将代理建模语言(AML)通信交互图与处理MDA方法的e3值模型对齐。应用ATL转换语言(ATL)实现模型对齐过程的自动化。目标是减少项目工作量、时间和开发成本,因为所有对齐过程都是自动完成的,从而提高在软件业务中更具竞争力的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interaction Multi-Agent Models' Automatic Alignment with MDA Higher Abstraction Level
With the massive growth of the software sector as well as the erratic needs of end users, agent-based information systems and Model Driven Architecture (MDA) approach are among the liveliest and significant fields of experimentation and improvement to emerge in the recent decade. In this vein, we suggest in this research an innovative method that automates the construction and the generation processes of the interaction multi-agent models from the business requirements engineering models at the MDA highest abstraction levels. So, our defiance is to align the Agent Modeling Language (AML) Communicative Interaction diagram with the E3value model dealing with the MDA approach. The ATLAS-Transformation Language (ATL) is applied to automate the model alignment process. The goal is to reduce project effort, time, and development costs as all alignment process is automatically done, boosting the chances of being more competitive in the software business.
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