On development practices for end users

Alessandro Bozzon, Marco Brambilla, Muhammad Imran, Florian Daniel, Fabio Casati

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

2 Citations (Scopus)

Abstract

The paper discusses some trends in end user programming (EUP) and takes inspiration from the discussions in a panel and in a vertical session on research evaluation within the second Search Computing workshop. We discuss the controversial successes and failures in this field and we elaborate on which facilities could foster adoption of end user programming. We discuss various dimensions of end user programming, including vertical versus horizontal language definition, declarative versus imperative approaches. We exemplify our discussion in the realistic scenario of research evaluation by comparing the Search Computing and ResEval approaches.

Original languageEnglish
Title of host publicationSearch Computing - Trends and Developments
Pages192-200
Number of pages9
Volume6585 LNCS
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventWorkshop on Search Computing - Trends and Developments, SeCo 2010 - Como, Milan, Italy
Duration: 25 May 201031 May 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6585 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceWorkshop on Search Computing - Trends and Developments, SeCo 2010
CountryItaly
CityComo, Milan
Period25.5.1031.5.10

Keywords

  • conceptual modeling
  • crowd programming
  • declarative programming
  • end user development
  • mashup

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Bozzon, A., Brambilla, M., Imran, M., Daniel, F., & Casati, F. (2011). On development practices for end users. In Search Computing - Trends and Developments (Vol. 6585 LNCS, pp. 192-200). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6585 LNCS). https://doi.org/10.1007/978-3-642-19668-3_18