Baya: Assisted mashup development as a service

Soudip Roy Chowdhury, Carlos Rodríguez, Florian Daniel, Fabio Casati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

In this demonstration, we describe Baya, an extension of Yahoo! Pipes that guides and speeds up development by interactively recommending composition knowledge harvested from a repository of existing pipes. Composition knowledge is delivered in the form of reusable mashup patterns, which are retrieved and ranked on the fly while the developer models his own pipe (the mashup) and that are automatically weaved into his pipe model upon selection. Baya mines candidate patterns from pipe models available online and thereby leverages on the knowledge of the crowd, i.e., of other developers. Baya is an extension for the Firefox browser that seamlessly integrates with Pipes. It enhances Pipes with a powerful new feature for both expert developers and beginners, speeding up the former and enabling the latter. The discovery of composition knowledge is provided as a service and can easily be extended toward other modeling environments. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Original languageEnglish
Title of host publicationWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
Pages409-412
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event21st Annual Conference on World Wide Web, WWW'12 - Lyon, France
Duration: 16 Apr 201220 Apr 2012

Conference

Conference21st Annual Conference on World Wide Web, WWW'12
CountryFrance
CityLyon
Period16.4.1220.4.12

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Keywords

  • Assisted mashup development
  • Baya
  • Composition patterns
  • Pattern mining
  • Pattern recommendation
  • Weaving

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Chowdhury, S. R., Rodríguez, C., Daniel, F., & Casati, F. (2012). Baya: Assisted mashup development as a service. In WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion (pp. 409-412) https://doi.org/10.1145/2187980.2188061