Decision-driven Maintenance

F. Lanubile, G. Visaggio
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引用次数: 17

Abstract

This paper presents our approach to design recording which aims to facilitate the impact analysis of changes in data, functions, or the external environment. A whole software system is represented as a web which integrates the different work products of the software life cycle and their mutual relationships. A traceability relationship associates the objects with each other so that impact analysis can be performed. Internal traceability is provided by semantic links between software objects representing the work products of a development phase, while external traceability is assured by the cognitive links between software objects from different phases. System understanding is supported by the decisions which are involved in the transformation process. The history of these decisions is retained over time so that previous decisions can be examined for maintenance and reuse activities. The approach has been implemented through a Traceability Support System, a maintenance tool which combines the characteristics of program abstractors, project databases and design rationale capture tools. The approach and the tool also both support traceability in heterogeneous systems, which have subsystems implemented on different platforms. Finally, analysis is made of the results of an empirical investigation carried out to assess the approach.
Decision-driven维护
本文介绍了我们的设计记录方法,旨在促进对数据、功能或外部环境变化的影响分析。一个完整的软件系统被表示为一个网络,它集成了软件生命周期的不同工作产品及其相互关系。跟踪关系将对象彼此关联起来,以便可以执行影响分析。内部可追溯性是由代表开发阶段工作产品的软件对象之间的语义链接提供的,而外部可追溯性是由来自不同阶段的软件对象之间的认知链接保证的。系统理解是由转换过程中涉及的决策所支持的。这些决策的历史将随着时间的推移而保留,以便可以检查以前的决策以进行维护和重用活动。该方法是通过可跟踪性支持系统实现的,可跟踪性支持系统是一种维护工具,它结合了程序抽象器、项目数据库和设计原理捕获工具的特征。该方法和工具还支持异构系统中的可追溯性,这些系统具有在不同平台上实现的子系统。最后,对实证调查结果进行了分析,以评估该方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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