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What Can Software Learn From Hypermedia?
Philip Tchernavskij, Clemens Nylandsted Klokmose, Michel Beaudouin-Lafon

What Can Software Learn From Hypermedia?

Science & Mathematics Published 2017 Verification Pending

Overview & Synopsis

Most of our interactions with the digital world are mediated by apps: desktop, web, or mobile applications. Apps impose artificial limitations on collaboration among users, distribution across devices, and the changing procedures that constantly occur in real work. These limitations are partially due to the engineering principles of encapsulation and program-data separation. By contrast, the field of hypermedia envisions collaboration , distribution and flexible practices as fundamental features of software. We discuss shareable dynamic media, an alternative model for software that unifies hypermedia and interactive systems, and Webstrates, an experimental implementation of that model. We give examples of patterns and challenges for software architecture that have emerged in our experimentation with Webstrates, and show that it subverts the principles of encapsulation and program-data separation.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title What Can Software Learn From Hypermedia?
Author / Organization Philip Tchernavskij, Clemens Nylandsted Klokmose, Michel Beaudouin-Lafon
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2017
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-241954
Original Source Link Visit Source Page on hal.science »