RADAR:用于需求和架构决策分析的轻量级工具

Saheed A. Busari, Emmanuel Letier
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引用次数: 23

摘要

不确定性和冲突的涉众目标使得许多需求和架构决策特别困难。定量概率模型允许软件架构师使用随机模拟和多目标优化来分析这些决策,但是详细阐述模型的困难是更广泛采用此类技术的障碍。为了减少这一障碍,本文提出了一种新的建模语言和分析工具,称为RADAR,旨在促进需求和体系结构决策分析。该语言与需求工程中使用的定量AND/OR目标模型以及软件产品线中使用的特性模型有关系。然而,它将这些模型简化为决策分析所必需的最小语言结构集。本文介绍了RADAR的建模语言,对决策分析的自动化支持,并评估了它在四个实际例子中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RADAR: A Lightweight Tool for Requirements and Architecture Decision Analysis
Uncertainty and conflicting stakeholders' objectives make many requirements and architecture decisions particularly hard. Quantitative probabilistic models allow software architects to analyse such decisions using stochastic simulation and multi-objective optimisation, but the difficulty of elaborating the models is an obstacle to the wider adoption of such techniques. To reduce this obstacle, this paper presents a novel modelling language and analysis tool, called RADAR, intended to facilitate requirements and architecture decision analysis. The language has relations to quantitative AND/OR goal models used in requirements engineering and to feature models used in software product lines. However, it simplifies such models to a minimum set of language constructs essential for decision analysis. The paper presents RADAR's modelling language, automated support for decision analysis, and evaluates its application to four real-world examples.
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