Modeling and Reasoning About Information Quality Requirements

[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.