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Publication

DISCOPAR: A Visual Reactive Programming Language for Generating Cloud-Based Participatory Sensing Platforms

Book Contribution - Book Chapter Conference Contribution

Participatory sensing (PS) platforms enable stakeholders to
collect, analyse and visualise data for a particular interest.
Despite high societal demand, developing a new PS platform
remains a labour-intensive, nonreusable process that
requires high technical expertise. We present DISCOPAR, a
visual reactive flow-based domain-specific language geared
towards the construction of reusable citizen observatories.
With DISCOPAR, users interact with visual components to
implement the various elements of a PS platforms without
having to worry about its underlying technological complexities.
We validate our approach through experiments using
real-world empirical usability studies of ICT-agnostic users.
The results show that DISCOPAR allows users with limited
technological knowledge to create their own PS platform.
Book: REBLS 2018 - Proceedings of the 5th ACM SIGPLAN International Workshop on Reactive and Event-Based Languages and Systems, Co-located with SPLASH 2018
Series: REBLS 2018 - Proceedings of the 5th ACM SIGPLAN International Workshop on Reactive and Event-Based Languages and Systems, Co-located with SPLASH 2018
Pages: 31-40
Number of pages: 10
Publication year:2018
Keywords:Flow-based programming, Participatory sensing, Reactive programming, Visual programming
  • DOI: https://doi.org/10.1145/3281278.3281285
  • Scopus Id: 85061831398
  • ORCID: /0000-0001-7274-5982/work/71140907
  • ORCID: /0000-0003-4734-2828/work/71347041
  • ORCID: /0000-0002-5229-5627/work/85060804
  • WoS Id: 000474460700004
Authors:Regional
Accessibility:Closed