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Context-driven progressive enhancement of mobile web applications: a multicriteria decision-making approach

Heïko Desruelle (UGent) and Frank Gielen (UGent)
(2015) COMPUTER JOURNAL. 58(8). p.1732-1746
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Abstract
Personal computing has become all about mobile and embedded devices. As a result, the adoption rate of smartphones is rapidly increasing and this trend has set a need for mobile applications to be available at anytime, anywhere and on any device. Despite the obvious advantages of such immersive mobile applications, software developers are increasingly facing the challenges related to device fragmentation. Current application development solutions are insufficiently prepared for handling the enormous variety of software platforms and hardware characteristics covering the mobile eco-system. As a result, maintaining a viable balance between development costs and market coverage has turned out to be a challenging issue when developing mobile applications. This article proposes a context-aware software platform for the development and delivery of self-adaptive mobile applications over the Web. An adaptive application composition approach is introduced, capable of autonomously bypassing context-related fragmentation issues. This goal is achieved by incorporating and validating the concept of fine-grained progressive application enhancements based on a multicriteria decision-making strategy.
Keywords
progressive enhancement, IBCN, mobile web applications, context-awareness, multicriteria decision-making, adaptive engineering

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Citation

Please use this url to cite or link to this publication:

Chicago
Desruelle, Heïko, and Frank Gielen. 2015. “Context-driven Progressive Enhancement of Mobile Web Applications: a Multicriteria Decision-making Approach.” Computer Journal 58 (8): 1732–1746.
APA
Desruelle, H., & Gielen, F. (2015). Context-driven progressive enhancement of mobile web applications: a multicriteria decision-making approach. COMPUTER JOURNAL, 58(8), 1732–1746.
Vancouver
1.
Desruelle H, Gielen F. Context-driven progressive enhancement of mobile web applications: a multicriteria decision-making approach. COMPUTER JOURNAL. 2015;58(8):1732–46.
MLA
Desruelle, Heïko, and Frank Gielen. “Context-driven Progressive Enhancement of Mobile Web Applications: a Multicriteria Decision-making Approach.” COMPUTER JOURNAL 58.8 (2015): 1732–1746. Print.
@article{6990368,
  abstract     = {Personal computing has become all about mobile and embedded devices. As a result, the adoption rate of smartphones is rapidly increasing and this trend has set a need for mobile applications to be available at anytime, anywhere and on any device. Despite the obvious advantages of such immersive mobile applications, software developers are increasingly facing the challenges related to device fragmentation. Current application development solutions are insufficiently prepared for handling the enormous variety of software platforms and hardware characteristics covering the mobile eco-system. As a result, maintaining a viable balance between development costs and market coverage has turned out to be a challenging issue when developing mobile applications. This article proposes a context-aware software platform for the development and delivery of self-adaptive mobile applications over the Web. An adaptive application composition approach is introduced, capable of autonomously bypassing context-related fragmentation issues. This goal is achieved by incorporating and validating the concept of fine-grained progressive application enhancements based on a multicriteria decision-making strategy.},
  author       = {Desruelle, He{\"i}ko and Gielen, Frank},
  issn         = {0010-4620},
  journal      = {COMPUTER JOURNAL},
  language     = {eng},
  number       = {8},
  pages        = {1732--1746},
  title        = {Context-driven progressive enhancement of mobile web applications: a multicriteria decision-making approach},
  url          = {http://dx.doi.org/10.1093/comjnl/bxu061},
  volume       = {58},
  year         = {2015},
}

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