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

Gharib, Mohamad; Giorgini, Paolo

doi:10.1007/978-3-319-25897-3_17

Cited by 10 publications

(6 citation statements)

References 17 publications

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“…Finally, the language adopts the notion of trust and distrust to capture the actors' expectations of one another concerning their delegated entitlements and authorities [27]. For example, the investor distrusts Best trading for achieving the goal G2.2.…”

Section: Modeling Phasementioning

confidence: 99%

Analysis of information quality requirements in business processes, revisited

2016

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Many business processes (BPs) involving critical decision-making activities require good quality information for their successful enactment. Despite this fact, existing BP approaches focus on control-flow and ignore the complementary information perspective, or simply treat it as a technical issue, rather than a social and organizational one. To tackle this problem, we propose a comprehensive framework for modeling and analyzing information quality requirements for business processes using the WFA-net BP modeling language. In addition, we describe a prototype implementation, and present two realistic examples concerning the stock market domain, intended to illustrate our approach.

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Section: Modeling Phasementioning

confidence: 99%

Analysis of information quality requirements in business processes, revisited

2016

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“…Entities social trust: the need for trust arises when actors depend on one another for goals or permissions since such dependencies might entail risk [18]. Trust has a type that can be either: (1) Trust means the trustor expects that the trustee will behave as expected considering the trustum (e.g., a trustee will not misuse the trustum), and (2) Distrust means the trustor expects that the trustee may not behave as expected considering the trustum.…”

Section: The Copri Ontologymentioning

confidence: 99%

COPri - A Core Ontology for Privacy Requirements Engineering

Gharib

Mylopoulos

Giorgini

2020

Lecture Notes in Business Information Processing

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In their daily practice, most enterprises collect, store, and manage personal information for customers in order to deliver their services. In such a setting, privacy has emerged as a key concern as companies often neglect or even misuse personal data. In response to this, governments around the world have enacted laws and regulations for privacy protection. These laws dictate privacy requirements for any system that acquires and manages personal data. Unfortunately, these requirements are often incomplete and/or inaccurate as many RE practitioners might be unsure of what exactly are privacy requirements and how are they different from other requirements, such as security. To tackle this problem, we developed a comprehensive ontology for privacy requirements. To make it comprehensive, we base our ontology on a systematic review of the literature on privacy requirements. The contributions of this work include the derivation of an ontology from a previously conducted systematic literature review, an implementation using an ontology definition tool (Protégé), a demonstration of its coverage through an extensive example on Ambient Assisted Living, and a validation through a competence questionnaire answered by lexical semantics experts as well as privacy and security researchers.

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“…The references to the selected papers in SLR are shown in sequence. 14,15,17,18,19,32,36,39,42,45,51,73 Process 20,21,23,25,28,30,31,61,62,63,64,69,70,84,79,94 19,22,25,27,35,36,38,39,49,55,60,66,73,74,75 5,6,11,19,21,22,24,27,…”

Section: Springermentioning

confidence: 99%

“…Only Nodes 1,8,10,11,12,16,24,30,33,37,41,44,64,54,60,61,62,63,68,72,75,77,79,80,84,85,86,91,93 and 95 Only Links 5,13,14,15,17,21,34,35,36,38,39,54 and 96 Nodes and Links 2,3,6,7,9,18,19,20,22,23,25,26,…”

Section: List Of Acronymsmentioning

confidence: 99%