A model-based framework for self-adaptive software

随着软件系统变得更加互连和多样化，架构师越来越不能预测和设计组件之间的交互，将这些问题留在运行时处理。该研究项目的目标是研究、设计和开发一种新型的基于模型的框架，以实现自适应软件。拟议的方法可分为三个关键阶段：i）开发方法和工具来定义和描述丰富的语法和语义公共上下文，以允许定义用于反射组件模型的规则以及它们之间的动态组合和交互，ii）设计适应可扩展的重新配置算法集的特征，以及ii）设计一个系统化的重构引擎来监控系统并决定是否需要改变。我们期望这样一个框架将允许自适应软件的开发与关注点的清晰分离。我们还认为，拟议的基于模型的机制将进行的变化，其中包括重新配置算法和变化约束组件，可以被认为是独立的应用程序和适应过程中，驱动变化。最后，我们预计，自适应变化引擎将导致决定什么样的变化是必要的，什么样的机制应该被用来进行该changes.This研究利用现有的软件系统的价值，并提供工程方法，以增加投资回报的企业，延长其软件系统的生命周期。拟议的研究将通过工业和开源软件的实验进行验证。我们相信，开发的技术将有助于工业组织在其发展和维护过程中有效地保持其自适应系统的最新状态。

As software systems become more interconnected and diverse, architects are less able to anticipate and design interactions among components, leaving such issues to be dealt with at runtime. The objective of this research project is to investigate, design, and develop a novel model-based framework to enable self-adaptive software. The proposed methodology can be divided into three crucial phases: i) developing methodologies and tools to define and describe a rich syntax and semantic common context to allow definition of rules for reflective component models and dynamic composition and interactions between them, ii) designing a feature that accommodates an extensible set of reconfiguration algorithms, and ii) devising a systematic reconfiguration engine that monitors a system and decides whether a change is necessary.We anticipate that such a framework will allow self-adaptive software to be developed with a clean separation of concerns. We also believe that the proposed model-based mechanism will carry out changes which consist of reconfiguration algorithms and change constraint components which can be considered independently from both the application and the adaptation process that drives change. Finally, we anticipate that the adaptive change engine will lead to decisions as to what change is necessary, and what mechanism should be used to carry out that change.This research leverages the value of existing software systems, and provides engineering approaches to increase the return of investment for corporations by prolonging the lifetime of their software systems. The proposed research will be validated through experiments with industrial and open source software. We believe the developed techniques will help industrial organizations to effectively keep their adaptive systems up-to-date during their evolution and maintenance.