A declarative framework for adaptable applications in heterogeneous environments

Inverardi, Paola; Mancinelli, Fabio; Nesi, Monica

doi:10.1145/967900.968139

Cited by 15 publications

(11 citation statements)

References 9 publications

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“…Besides, we intend to address more complex forms of adaptation that, for example, completely replace the internal structure and behavior of a certain component when needed [33].…”

Section: Discussionmentioning

confidence: 99%

Multidimensional context modeling applied to non-functional analysis of software

et al. 2017

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Context awareness is a first-class attribute of today software systems. Indeed, many applications need to be aware of their context in order to adapt their structure and behavior for offering the best quality of service even in case the software and hardware resources are limited. Modeling the context, its evolution, and its influence on the services provided by (possibly resource constrained) applications are becoming primary activities throughout the whole software life cycle, although it is still difficult to capture the multidimensional nature of context. We propose a framework for modeling and reasoning on the context and its evolution along multiple dimensions. Our approach enables (1) the representation of dependencies among heterogeneous context attributes through a formally defined semantics for attribute composition and (2) the stochastic analysis of context evolution. As a result, context can be part of a model-based software development process, and multidimensional context analysis can be used for different purposes, such as non-functional analysis. We demonstrate how certain types of analysis, not feasible with context-agnostic approaches, are enabled in our framework by explicitly representing the interplay between context evolution and non-functional attributes. Such analyses allow the identification of critical aspects or design errors that may not emerge without jointly taking into account multiple context attributes. The framework is shown at work on a case study in the eHealth domain.

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“…Besides, we intend to address more complex forms of adaptation that, for example, completely replace the internal structure and behavior of a certain component when needed [33].…”

Section: Discussionmentioning

confidence: 99%

Multidimensional context modeling applied to non-functional analysis of software

et al. 2017

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“…We are trying to introduce this characteristic in our framework without needing a heavyweight extension of the UML metamodel. Moreover we are looking at more complex forms of adaptation that, for example, completely replace the internal structure and behavior of a certain component if needed [12].…”

Section: Discussionmentioning

confidence: 99%

Performance Modeling and Analysis of Context-Aware Mobile Software Systems

Berardinelli

Cortellessa

Marco

2010

Fundamental Approaches to Software Engineering

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Abstract. Context-awareness is becoming a first class attribute of software systems. In fact, applications for mobile devices need to be aware of their context in order to adapt their structure and behavior and offer the best quality of service even in case the (software and hardware) resources are limited. Although performance is a key non-functional property for such applications, existing approaches for performance modeling and analysis fail to capture the characteristics related to the context, thus resulting not suited for this domain.In this paper we introduce a framework for modeling and analyzing the performance of context-aware mobile software systems. The framework allows to model: the software architecture, the context management, the adaptable behaviors and the performance parameters. Such models can then be transformed into performance models for analysis purposes. We tailor an integrated environment for modeling these elements in UML, and we show how to use it for performance analysis purposes. The modeling environment description and the performance analysis are driven by an example in the eHealth domain.

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“…Enforcing the correctness of such adaptive applications is a crucial software engineering task. That is, once having developed the generic adaptable application code, its correct adaptation with respect to a given execution context must be inferred [31].…”

Section: Enabling Software Engineering Techniquesmentioning

confidence: 99%