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Massachusetts Institute of Technology

Creating a cliché library for social applications

Abstract

dc:description.abstract

Déjà Vu is a platform for the end-user development of web applications. It reduces the complexity of web development by encapsulating common functionality across the web into a library of clichés. Users select clichés that represent core concepts in their application, specify various configuration variables and include actions that add the desired functionality to their application. This thesis focuses on creating a cliché library for social applications (e.g. planning events, crowd-sourcing opinions, etc.). The catalogue of clichés and their actions were evaluated by replicating student projects from an undergraduate web development course. Most of the core functionality was replicated for each sample. The applications built with Déjà Vu will also serve as a reference and/ or starting point for future application developers.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Archie, Maryam.
Advisor dc:contributor.advisor
  • Daniel Jackson.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/123001
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/123001

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Archie, Maryam.. Creating a cliché library for social applications. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123001