2012
DOI: 10.1016/j.jss.2012.07.052
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A development framework and methodology for self-adapting applications in ubiquitous computing environments

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Cited by 85 publications
(49 citation statements)
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References 28 publications
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“…Mizouni et al [31] presented a framework for context-aware self-adaptive mobile applications using the advantages of the software product line feature modelling to manage variability. Projects such as MUSIC [32] [33] [34], also support the development of self-adaptive systems in ubiquitous environments.…”
Section: Interacting With a Context-aware Systemmentioning
confidence: 99%
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“…Mizouni et al [31] presented a framework for context-aware self-adaptive mobile applications using the advantages of the software product line feature modelling to manage variability. Projects such as MUSIC [32] [33] [34], also support the development of self-adaptive systems in ubiquitous environments.…”
Section: Interacting With a Context-aware Systemmentioning
confidence: 99%
“…The human-centred computing methodology [187] mentions that ethnomethodologically informed ethnography can be applied for understanding the situation of use, but they do not deeply explain how the technique should be applied. Also, MUSIC [32] and CML [183] mention requirements, but do not explain into detail the techniques. DiaSuite [127] offers perfective maintenance for the system, but does not support adaptive, preventive or corrective ones.…”
Section: Techniquesmentioning
confidence: 99%
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“…MUSIC (Hallsteinsen et al, 2012) is a software development framework for collaborative applications. The framework supports several adaptation mechanisms and offers a model-driven application development approach supported by MUSIC middleware.…”
Section: Related Workmentioning
confidence: 99%
“…In addition, Ubiquitous Computing can facilitate the establishment of sustainable computing. This environmental change provides companies with new business opportunities (u-Business services) [1][2][3]. However, most u-Business services that are developed remain at an experimental (or trial) level, and incidences of advancing the service for commercialization (or industrialization) are rare [4][5][6].…”
Section: Introductionmentioning
confidence: 99%