Modeling and Reasoning About Information Quality Requirements

Lecture Notes in Business Information Processing

Giorgini

2015

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Part 7: Managing Risks and ThreatsInternational audienceThe Requirements Engineering (RE) community recognizes the importance of trust proposing several approaches to model and analyze trust requirements. However, such approaches mainly focus on trust as social relations without relating them to the requirements of the system’s components. We propose a belief-based trust approach based on an extended version of Secure Tropos, where social relations are modeled and analyzed along with beliefs concerning capabilities and motivations of system’s components. An example concerning US stock market crash (the Flash Crash) is used to illustrate our approach

Section: Introductionmentioning

confidence: 99%

Analyzing Trust Requirements in Socio-Technical Systems: A Belief-Based Approach

Lecture Notes in Business Information Processing

Giorgini

2015

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“…Information Quality can be analyzed based on its different dimensions, and several models for IQ analysis have been proposed in the literature (e.g., [7], [10]- [12]), yet none of them is able to deal with the special needs of SoS. Table I lists the main IQ dimensions that have been considered in the literature.…”

Section: Information and Information Qualitymentioning

confidence: 99%

“…[9], [10]. Although there are several models for analyzing IQ (e.g., [7], [10]- [12]), none of them has been designed with the special needs of SoS in mind. For instance, no existing IQ model is able to deal with information that is exchanged through indirect channels (e.g., stigmergic information [13]).…”

Section: Introductionmentioning

confidence: 99%

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A conceptual model for analyzing information quality in System-of-Systems

2017 12th System of Systems Engineering Conference (SoSE)

Lollini

Bondavalli

2017

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Abstract-A System-of-Systems (SoS) is an integration of a finite number of Constituent Systems (CSs), which are networked together for achieving a certain higher goal. Therefore, integration is the key viability of any SoS. Although the integration of CSs can be achieved by the exchange of information, no existing work has considered the quality of such information. Without considering Information Quality (IQ), a CS may depend on inaccurate, incomplete, inconsistent, invalid, and/or untrustworthy information, which might lead to its failure, and in turn to catastrophic incidents in the case of critical SoS. The main objective of the paper is proposing a novel conceptual model that provides the required concepts for analyzing for SoS. We illustrate the utility of the model with an example concerning the Intelligent Transportation System (ITS) domain.

“…Requirements can be classified in many ways [21], yet it is generally accepted in the RE community that requirements can be broadly classified under functional and non-functional requirements, where the first type refers to the functionalities that the system shall deliver, and the last refers to how the system shall deliver such functionalities [20], [22]. Other types of requirements that can be used to sub-classify requirements have been proposed in the literature such as security [9], trust [8], information quality [23], etc.…”

Section: ) Modeling and Analyzing The Scenarios Imentioning

confidence: 99%

Privacy Requirements: Findings and Lessons Learned in Developing a Privacy Platform

2016 IEEE 24th International Requirements Engineering Conference (RE)

Salnitri

Paja

et al. 2016

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Abstract-Information practices and systems that make use of personal and health-related information are governed by European laws and regulations to prevent unauthorized use and disclosure. Failure to comply with these laws and regulations results in huge monetary sanctions, which both private companies and public administrations want to avoid. How to comply with these laws, requires understanding the privacy requirements imposed on information systems. A holistic approach to privacy requirements specification calls for understanding not only the requirements derived from law, but also citizens' needs with respect to privacy. In this paper, we report on our experience in conducting privacy requirements engineering as part of a H2020 European Project, namely VisiOn (Visual Privacy Management in User Centric Open Requirements) for the development of a privacy platform to improve the interaction between Public Administrations (PA) and citizens, while guarding the privacy of the latter. Specifically, we present the process for eliciting, classifying, prioritizing, and validating privacy requirements for the two types of users, namely PA and citizen. The process is applied to different cases spanning from healthcare to other e-governmental initiatives, with the active involvement of the corresponding PAs. We report on findings and lessons learned from this experience.