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Modeling and Reasoning About Information Quality Requirements

机译:信息质量要求的建模与推理

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[Context and motivation] Information Quality (IQ) is a key success factor for the efficient performance of any system, and it becomes a vital issue for critical systems, where low-quality information may lead to disasters. [Question/problem] Despite this, most of the Requirements Engineering frameworks focus on "what" and "where" information is required, but not on the intention behind its use, which is essential to define the required level of quality that information should meets. [Principal ideas/results] In this paper, we propose a novel conceptual framework for modeling and reasoning about IQ at requirements level. [Contribution] The proposed framework is based on the secure Tropos methodology and extends it with the required concepts for modeling and analyzing IQ requirements since the early phases of software development. A running example concerning a U.S stock market crash (the May 6, 2010 Flash Crash) is used throughout the paper.
机译:[语境和动机]信息质量(IQ)是任何系统有效性能的关键成功因素,它成为关键系统的重要问题,其中低质量的信息可能导致灾害。 [问题/问题]尽管如此,大多数需求工程框架都专注于“什么”和“什么”信息是必需的,但不是在使用背后的意图,这对于定义信息应该满足的所需质量水平至关重要。 [主要思想/结果]本文提出了一种新颖的概念框架,用于在需求水平上建模和推理。 [贡献]该框架基于安全的Tropos方法,并将其扩展到自软件开发早期阶段以来建模和分析IQ要求的所需概念。在整个纸张中使用了一个关于美国股市崩溃(2010年5月6日闪存崩溃)的跑步榜样。

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