planning - designing - developing IT
Special Interest Group on Systems Analysis and Design

Publications

Goal Orchestrations: Modelling and Mining Flexible Business Processes

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In many application domains, it is more natural to think of a process as a coordination model of goals...

Searching for Optimal Configurations Within Large-Scale Models: A Cloud Computing Domain

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Feature modeling is a widely accepted variability modeling technique for supporting decision-making scenarios, by representing decisions as features. However,...

Configurable and Executable Task Structures Supporting Knowledge-Intensive Processes

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The operational support of knowledge-intensive processes (KiPs) constitutes a big challenge. As KiPs tend to be unpredictable and emergent,...

Conceptual Modeling: Enhancement Through Semiotics

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Conceptual modeling uses languages to represent the real world. Semiotics, as a general theory of signs and symbols, deals...

Towards an Ontology for Privacy Requirements via a Systematic Literature Review

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Privacy has been frequently identified as a main concern for systems that deal with personal information. However, much of...

What Happens to Intentional Concepts in Requirements Engineering if Intentional States Cannot Be Known?

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I assume in this paper that the proposition “I cannot know your intentional states” is true. I consider its...

Goal Models for Acceptance Requirements Analysis and Gamification Design

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The success of software systems highly depends on user engagement. Thus, to deliver engaging systems, software has to be...

Modeling Regulatory Ambiguities for Requirements Analysis

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Lawyers and policy makers regularly and intentionally use ambiguous language in laws, regulations, and other legal texts. Although ambiguity...

An Experimental Evaluation of the Understanding of Safety Compliance Needs with Models

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Context: Most safety-critical systems have to fulfil compliance needs specified in safety standards. These needs can be difficult to...

Cardinality Constraints with Probabilistic Intervals

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Probabilistic databases accommodate well the requirements of modern applications that produce large volumes of uncertain data from a variety...