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. Despite this, most of the Requirements Engineering frameworks loosely define, or simply ignore such requirements, which may lead to different conflicts among the stakeholders' IQ requirements. In this paper, we propose a novel conceptual framework for modeling and reasoning about IQ at requirements level. 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.
Detecting Conflicts in Information Quality Requirements: the May 6, 2010 Flash Crash / Gharib, Mohamad; Giorgini, Paolo. - ELETTRONICO. - (2014), pp. 1-32.
Detecting Conflicts in Information Quality Requirements: the May 6, 2010 Flash Crash
Gharib, MohamadPrimo
;Giorgini, PaoloUltimo
2014-01-01
Abstract
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. Despite this, most of the Requirements Engineering frameworks loosely define, or simply ignore such requirements, which may lead to different conflicts among the stakeholders' IQ requirements. In this paper, we propose a novel conceptual framework for modeling and reasoning about IQ at requirements level. 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.File | Dimensione | Formato | |
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