自适应软件中的变更支持:细粒度自适应的案例研究

M. Salehie, Sen Li, R. Asadollahi, L. Tahvildari
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引用次数: 18

摘要

自适应软件是一个闭环系统,其目的是在运行时根据不同的情况进行自我调整。本文将适应视为动态软件进化背景下的变化,并基于活动理论提出了一个概念模型。该模型由进行更改的活动层次结构和激励这些更改的目标组成。这个模型试图建立一个设计自适应软件系统的正式框架。虽然所提出的模型适用于任何类型的适应,但在各种软件系统的不同粒度级别上,本文仅关注细粒度的适应变化。作为一个案例研究,使用关键任务电子商务系统TPC-W来应用所提出的模型并评估细粒度适应变化的有效性。所进行的一组实验旨在评估通过几个细粒度操作(如服务级别升级/降级)执行的自优化和自配置适应活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Change Support in Adaptive Software: A Case Study for Fine-Grained Adaptation
Adaptive software is a closed-loop system which aims at adjusting itself in different situations at runtime. This paper looks at adaptation as changes in the context of dynamic software evolution, and proposes a conceptual model for these changes based on Activity Theory. This model consists of a hierarchy of activities making changes, and the objectives motivating these changes. This model is an attempt towards establishing a formal framework for designing adaptive software systems. While the proposed model is applicable to any type of adaptation, at different levels of granularity of various software systems, the paper focuses only on fine-grained adaptation changes. As a casestudy, a mission-critical e-commerce system, TPC-W, isused to apply the proposed model and evaluate the effectiveness of fine-grained adaptation changes. The conducted set of experiments aims at evaluating self-optimizing and self-configuring adaptation activities performed through several fine-grained actions such as service-level upgrading/degrading.
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