Supporting Runtime System Evolution to Adapt to User Behaviour

Serral, Estefanía; Valderas, Pedro; Pelechano, Vicente

doi:10.1007/978-3-642-13094-6_30

Cited by 18 publications

(16 citation statements)

References 12 publications

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“…We intend to rely upon previous work on pervasive infrastructures [18] and goal-oriented adaptation [6]. The effectiveness of the infrastructure in adapting to users will be assessed through case studies.…”

Section: Discussionmentioning

confidence: 99%

“…We build on top of the task models by Serral et al [18], which specify how a pervasive infrastructure can support its users in carrying out everyday activities. Task models are inspired by Hierarchical Task Analysis (HTA) [20], which constructs a task tree that refines a high-level task into a set of executable ones.…”

Section: Research Baseline: Task Modelsmentioning

confidence: 99%

“…A smart-home pervasive environment supports the daily routines of the home inhabitants through a set of pervasive services [18] that are interfaced with sensors and effectors. Consider the following routine: "Every working day, the system turns on the bathroom heating at 7:50 a.m. to make it warm enough for Bob to take a shower.…”

Section: Research Baseline: Task Modelsmentioning

confidence: 99%

“…Task models [14] are a modelling language to represent user routines [18] (sets of habitually performed tasks). They are an example of executable conceptual models, as they hierarchically specify and temporally relate the tasks a system should execute for supporting a user in the conduction of her daily routines.…”

Section: Introductionmentioning

confidence: 99%

“…They are an example of executable conceptual models, as they hierarchically specify and temporally relate the tasks a system should execute for supporting a user in the conduction of her daily routines. These models have been successfully adopted in model-driven pervasive infrastructures [18].…”

Section: Introductionmentioning

confidence: 99%

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A NFR-Based Framework for User-Centered Adaptation

Dalpiaz

Serral

Valderas

et al. 2012

Conceptual Modeling

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Abstract. Pervasive environments support users' daily routines in an invisible and unobtrusive way. To do so, they include a technical pervasive infrastructure, which is aware of and adaptive to both the operational context and the users at hand. Non-Functional Requirements (NFRs) have been effectively used to inform decision-making in software engineering: functional alternatives are compared in terms of their contribution to NFRs satisfaction. In this work, we consider user preferences over NFRs as a key driver for the adaptation of a pervasive infrastructure. We devise a model-driven framework for building pervasive systems that maximize fitness with the context and the user. Our contributions are: (i) adaptive task models, a conceptual model to describe user routines that accounts for user preferences over NFRs; and (ii) an adaptation framework, which uses our models at runtime to guide a pervasive infrastructure in adapting its behaviour to user preferences and context.

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Section: Discussionmentioning

confidence: 99%

Section: Research Baseline: Task Modelsmentioning

confidence: 99%

Section: Research Baseline: Task Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A NFR-Based Framework for User-Centered Adaptation

Dalpiaz

Serral

Valderas

et al. 2012

Conceptual Modeling

Self Cite

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Toward the adaptation of component‐based architectures by model transformation: behind smart user interfaces

et al. 2014

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SUMMARYGraphical user interfaces are not always developed for remaining static. There are GUIs with the need of implementing some variability mechanisms. Component-based GUIs are an ideal target for incorporating this kind of operations, because they can adapt their functionality at run-time when their structure is updated by adding or removing components or by modifying the relationships between them. Mashup user interfaces are a good example of this type of GUI, and they allow to combine services through the assembly of graphical components. We intend to adapt component-based user interfaces for obtaining smart user interfaces. With this goal, our proposal attempts to adapt abstract component-based architectures by using model transformation. Our aim is to generate at run-time a dynamic model transformation, because the rules describing their behavior are not pre-set but are selected from a repository depending on the context. The proposal describes an adaptation schema based on model transformation providing a solution to this dynamic transformation. Context information is processed to select at run-time a rule subset from a repository. Selected rules are used to generate, through a higher-order transformation, the dynamic model transformation. This approach has been tested through a case study which applies different repositories to the same architecture and context. Moreover, a web tool has been developed for validation and demonstration of its applicability. The novelty of our proposal arises from the adaptation schema that creates a non pre-set transformation, which enables the dynamic adaptation of component-based architectures.

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