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SPACots: A Software Tool for Selecting COTS Components

机译:SPACots:用于选择COTS组件的软件工具

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This paper presents a software tool for integrating a child-friendly computer system based on commercial off-the-shelf (COTS) components. The effective selection of COTS components, which meet a child's requirements and expectations, is a non-trivial and challenging optimization problem. However, many published papers consider the functional requirements while ignoring usability requirements. The functional requirements are concerned with what the computer should be able to do, whereas the usability requirements are concerned with the extent to which the child is able to learn effectively and efficiently throughout the COTS based computer. In this paper, the authors propose an iterative five-task selection and integration of COTS process, including both hardware devices and software modules, to be automated. The core of the automated tool is employing Simulated Annealing (SA) to search the design space to match, select, and integrate COTS components with a maximal satisfaction while neither exceeding a given budget nor violating child and performance constraints. A Monte Carlo simulator was utilized to evaluate the goodness of the COTS based computer design. Computational results based on building a computer for a child handwriting e-learning application show feasibility of SPACots in finding a solution satisfying all constraints while reducing the cost by 58%.
机译:本文提出了一种软件工具,用于集成基于商用现货(COTS)组件的儿童友好型计算机系统。有效选择满足孩子的要求和期望的COTS组件是一项艰巨且具有挑战性的优化问题。但是,许多已发表的论文在忽略可用性要求的同时考虑了功能要求。功能要求与计算机应具有的功能有关,而可用性要求与儿童在整个基于COTS的计算机中能够有效学习的程度有关。在本文中,作者提出了一个迭代的五任务选择和COTS流程集成,包括硬件设备和软件模块,这些流程将实现自动化。自动化工具的核心是采用模拟退火(SA)来搜索设计空间,以最大程度地满足,选择和集成COTS组件,同时又不超出给定的预算,也不会违反子级和性能约束。蒙特卡罗模拟器被用来评估基于COTS的计算机设计的优越性。基于为儿童手写电子学习应用程序构建计算机的计算结果表明,SPACots可以找到满足所有约束条件的解决方案,同时将成本降低58%。

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