Fuzzy Goals for Requirements-Driven Adaptation

Baresi, Luciano; Pasquale, Liliana; Spoletini, Paola

doi:10.1109/re.2010.25

Cited by 209 publications

(132 citation statements)

References 22 publications

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“…They identify two approaches in the evolvability of C-AS: I) Short-term evolution, to handle exceptions and to make correct reactions at runtime; II) Long-term evolution, to monitor user behaviour and capture new system requirements based on human intentions. Baresi et al [90] present FLAGS, a goal model that adds adaptive goals in order to embed adaptation countermeasures, fostering self-adaptation by considering requirements as live, runtime entities. They distinguish between: 1) Crisp goals, whose satisfaction is Boolean; 2) Fuzzy goals, whose satisfaction is represented through fuzzy constraints.…”

Section: Adaptive and Goal-orientedmentioning

confidence: 99%

Engineering context-aware systems and applications: A survey

Alegre

Augusto

Clark

2016

Journal of Systems and Software

181

137

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Context-awareness is an essential component of systems developed in areas like Intelligent Environments, Pervasive & Ubiquitous Computing and Ambient Intelligence. In these emerging fields, there is a need for computerized systems to have a higher understanding of the situations in which to provide services or functionalities, to adapt accordingly. The literature shows that researchers modify existing engineering methods in order to better fit the needs of context-aware computing. These efforts are typically disconnected from each other and generally focus on solving specific development issues. We encourage the creation of a more holistic and unified engineering process that is tailored for the demands of these systems. For this purpose, we study the state-of-the-art in the development of context-aware systems, focusing on: A) Methodologies for developing context-aware systems, analysing the reasons behind their lack of adoption and features that the community wish they can use; B) Context-aware system engineering challenges and techniques applied during the most common development stages; C) Context-aware systems conceptualization.

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Section: Adaptive and Goal-orientedmentioning

confidence: 99%

Engineering context-aware systems and applications: A survey

Alegre

Augusto

Clark

2016

Journal of Systems and Software

181

137

View full text Add to dashboard Cite

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“…The language provided in FLAGS [8,9] to formally specify goals and operations is called FTL (Fuzzy-time Temporal Logic) and is obtained by extending the traditional linear temporal logic LTL with fuzzy constructs, embedding vagueness both at propositional and at the temporal level. The formalization of the requirements provides a detailed and mathematical formulation of the elements of the model.…”

Section: The Extended Flags Meta-modelmentioning

confidence: 99%

“…The requirements modeling process re-uses the FLAGS [8] goal model that expresses requirements as fuzzy temporal properties. This helped us developing games that tolerate small deviations of the movements performed by the patients with respect to the correct ones.…”

Section: Introductionmentioning

confidence: 99%

Requirements Engineering Meets Physiotherapy: An Experience with Motion-Based Games

Pasquale

Spoletini

Pometto

et al. 2013

Requirements Engineering: Foundation for Software Quality

Self Cite

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Abstract. [Context and motivation] In the last years motion-based games have achieved an increasing success. These games have great potential to support physiotherapeutic programs, as they can guide the patients in performing the right movements for their rehabilitation. [Question/problem] However, on the one hand, existing games performed on commercial systems (e.g., Wii, Kinect) are not suitable for people affected by motor pathologies. On the other hand, the design of games for physiotherapy is hard, as they should meet the "physiotherapy requirements" of the medical staff, provide an enjoyable experience to the patients, and overcome the technical limitations of the systems that support their execution. [Principal ideas/results] These limitations can be addressed by defining a standard process, independent from the considered pathology and that starts from the requirements collection and representation, to support the development of motion-based games for physiotherapy [Contribution] For this reason, this paper proposes RE-FIT, a methodology to elicit and model the RE-FIT extends existing requirements elicitation (brainstorming, surveys, and direct observation) and modeling techniques (FLAGS goal model). RE-FIT was developed in collaboration with the Spinal Unit of Niguarda Hospital and the Respiratory Medicine Section of Policlinico in Milan. Our experience demonstrated that RE-FIT is not only suitable to develop new physiotherapeutic games, but also to evaluate the adequacy of existing games for people affected by a specific pathology.

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“…Thus, DT-Golog goes beyond the classic MDP approach, where only primitive stochastic actions are allowed and not programs composed from such actions. Other approaches for dealing with uncertainty in requirements engineering have focussed on self-adaptive systems and follow a fuzzy logic based approach [18,19]. In comparison, we model probability and utility as separate measures, and focus on automated reasoning about optimal behaviours, in terms of both those measures.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Reasoning with Decision-Theoretic Goals

Liaskos

Khan

Soutchanski

et al. 2013

Lecture Notes in Computer Science

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Abstract. Goal models have found important applications in Requirements Engineering as models that relate stakeholder requirements with system or human tasks needed to fulfill them. Often, such task specifications constitute rather idealized plans for requirements fulfillment, where task execution always succeeds. In reality, however, there is always uncertainty as to whether a specification can/will actually be executed as planned. In this paper, we introduce the concept of decision-theoretic goals in order to represent and reason about both uncertainty and preferential utility in goal models. Thus, goal models are extended to express probabilistic effects of actions and also capture the utility of each effect with respect to stakeholder priorities. Further, using a state-of-the-art reasoning tool, analysts can find optimal courses of actions/plans for fulfilling stakeholder goals while investigating the risks of those plans. The technique is applied in a realworld meeting scheduling problem, as well as the London Ambulance Service case study.

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Fuzzy Goals for Requirements-Driven Adaptation

Cited by 209 publications

References 22 publications

Engineering context-aware systems and applications: A survey

Engineering context-aware systems and applications: A survey

Requirements Engineering Meets Physiotherapy: An Experience with Motion-Based Games

Modeling and Reasoning with Decision-Theoretic Goals

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