Abstract
This paper presents a design methodology and an accompanying platform for the design and fast development of Context-Aware Mobile mashUpS (CAMUS). The approach is characterized by the role given to context as a first-class modeling dimension used to support (i) the identification of the most adequate resources that can satisfy the users’ situational needs and (ii) the consequent tailoring at runtime of the provided data and functions. Context-based abstractions are exploited to generate models specifying how data returned by the selected services have to be merged and visualized by means of integrated views. Thanks to the adoption of Model-Driven Engineering (MDE) techniques, these models drive the flexible execution of the final mobile app on target mobile devices. A prototype of the platform, making use of novel and advanced Web and mobile technologies, is also illustrated.
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Notes
- 1.
Our current prototype uses the Chapman’s Soundex metrics [18].
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Acknowledgments
This research is partially supported by the research grants FluidCAMUS, funded by Aliday S.p.A., and SHELL (CTN01 00128 111357), funded by the Italian Ministry for University and Research - MIUR. We like to thank the large group of students of Politecnico di Milano who enthusiastically contributed to the design and implementation of the first CAMUS prototype. They allowed us to assess the feasibility of revising mashup composition practices through the introduction of context modeling concepts.
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Cassani, V. et al. (2017). On the Role of Context in the Design of Mobile Mashups. In: Daniel, F., Gaedke, M. (eds) Rapid Mashup Development Tools. RMC 2016. Communications in Computer and Information Science, vol 696. Springer, Cham. https://doi.org/10.1007/978-3-319-53174-8_7
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