意识驱动的软件再造

A. Moura
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引用次数: 8

摘要

随着软件的变化,它可能变得更难以理解、更难以修改、更难以重用。在这种情况下,重组是一种非常合适的方法。在为更新和回收重新设计系统时,组织通常会重新评估系统如何实现高级业务需求并进行修改以符合期望的更改。再工程通常涉及某种形式的逆向工程,以实现对软件的更抽象的描述。我们认为自适应系统实现了意识需求,这是自适应的高级抽象。感知需求是关于软件环境的非功能需求(nfr),以及关于软件本身的非功能需求(例如:感知自身发生的事情的能力),用于管理和/或适应目的。自适应系统再造的大部分工作都集中在关注点的分离(即:自适应逻辑和应用程序逻辑)或将非自适应系统进化为自适应系统。我们确定了正在使用的设计恢复方法,将其自身限制为恢复应用程序逻辑,从而将自适应逻辑留在低级模型中。这一事实导致在高级模型中缺乏适当的集成,从而导致实现问题。我们的研究旨在通过在面向目标的模型中使用意识需求的概念作为软目标来解决这些问题。我们理解,恢复适应操作化并将它们映射到基于i*的目标模型将提供对适应逻辑和应用程序逻辑的高级描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Awareness Driven Software Reengineering
As software changes, it may become more difficult to under-stand, to be changed and harder to be reusable. In such cases, reengineering is a well-suited approach. While reengineering a system for renovation and reclamation, an organization gener-ally reassesses how the system implements high-level business requirements and makes modifications to conform to desired changes. Reengineering usually involves some form of reverse engineering to achieve a more abstract description of the soft-ware. We consider that a self-adaptive system implements awareness requirements, a high-level abstraction for self-adaptation. Awareness requirements are nonfunctional re-quirements (NFRs) about the software environment, as well as about the software itself (i.e.: the ability to perceive what is hap-pening about itself) for management and/or adaptation purpos-es. Most of the effort on self-adaptive system reengineering is focused on separation of concerns (i.e.: adaptation logic and application logic) or evolve a non-adaptive to a self-adaptive system. We identified that the design recovery approaches being used, limit themselves to recover the application logic, thus leav-ing the adaptation logic in low-level models. This fact leads to lack of proper integration at high-level models, resulting in im-plementation problems. Our research aims to tackle these prob-lems, by using the concept of awareness requirements as soft-goal in a goal-oriented model. We understand that recovering the adaptation operationalization and mapping them onto an i* based goal model will provide a high-level description of both the adaptation logic as well as the application logic.
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