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Modeling and Reasoning About Information Quality Requirements

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Requirements Engineering: Foundation for Software Quality (REFSQ 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9013))

Abstract

[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.

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Authors and Affiliations

  1. University of Trento - DISI, 38123, Povo, Trento, Italy

    Mohamad Gharib & Paolo Giorgini

Authors
  1. Mohamad Gharib
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  2. Paolo Giorgini
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Corresponding author

Correspondence to Mohamad Gharib .

Editor information

Editors and Affiliations

  1. Software Engineering Research Laboratory, Blekinge Institute of Technology, Karlskrona, Sweden

    Samuel A. Fricker

  2. Software Engineering Group, Leibniz Universität Hannover, Hannover, Germany

    Kurt Schneider

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Gharib, M., Giorgini, P. (2015). Modeling and Reasoning About Information Quality Requirements. In: Fricker, S., Schneider, K. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2015. Lecture Notes in Computer Science(), vol 9013. Springer, Cham. https://doi.org/10.1007/978-3-319-16101-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-16101-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16100-6

  • Online ISBN: 978-3-319-16101-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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