Design-Space Exploration for Decision-Support Software

A. Penders, A. Varbanescu, G. Pavlin, H. Sips
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Abstract

Presence monitoring or intrusion detection in a location/area are examples of decision-support applications. Decision-support applications are applications where monitoring is used to collect (heterogeneous) data and create situational awareness, which further requires decisions and/or actions. As such, decision-support software consists of different interconnected components with very diverse roles, whose communication and synchronization are essential for the application functionality and performance. Despite this complexity, software design for decision-support is often driven by short-term functional requirements and only supported by designers’ previous experience. In the current non-systematic approach, mistakes can be easily made, and can be very difficult to repair. In this work, we describe our systematic method for efficient and effective decision-support software design, based on application design-space exploration (DSE). To this end, we describe how to build a design space and present structured methods to traverse the design space towards software solutions that meet user requirements for both functionality and performance.
决策支持软件的设计空间探索
位置/区域的状态监视或入侵检测是决策支持应用程序的示例。决策支持应用程序是使用监视来收集(异构)数据和创建态势感知的应用程序,这进一步需要决策和/或操作。因此,决策支持软件由具有非常不同角色的不同互连组件组成,这些组件的通信和同步对于应用程序的功能和性能至关重要。尽管存在这种复杂性,但用于决策支持的软件设计通常是由短期功能需求驱动的,并且仅由设计人员以前的经验支持。在目前的非系统方法中,很容易犯错误,而且很难修复。在这项工作中,我们描述了基于应用设计空间探索(DSE)的高效和有效的决策支持软件设计的系统方法。为此,我们描述了如何建立一个设计空间,并提出结构化的方法来遍历设计空间,以实现满足用户功能和性能要求的软件解决方案。
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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