Tracker: A framework to support reducing rework through decision management

Paul Rayson*, Bernadette Sharp, Albert Alderson, John Cartmell, Caroline Chibelushi, Rodney Clarke, Alan Dix, Victor Onditi, Amanda Quek, Devina Ramduny, Andy Salter, Hanifa Shah, Ian Sommerville, Phil Windridge

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

The Tracker project is studying rework in systems engineering projects. Our hypothesis is that providing decision makers with information about previous relevant decisions will assist in reducing the amount of rework in a project. We propose an architecture for the flexible integration of the tools implementing the variety of theories and models used in the project. The techniques include ethnographic analysis, natural language processing, activity theory, norm analysis, and speech and handwriting recognition. In this paper, we focus on the natural language processing components, and describe experiments which demonstrate the feasibility of our text mining approach.

Original languageEnglish
Title of host publicationICEIS 2003 - Proceedings of the 5th International Conference on Enterprise Information Systems
EditorsSlimane Hammoudi, Joaquim Filipe, Olivier Camp, Mario Piattini
PublisherEscola Superior de Tecnologia do Instituto Politecnico de Setubal
Pages344-351
Number of pages8
ISBN (Electronic)9729881618
Publication statusPublished - 2003
Externally publishedYes
Event5th International Conference on Enterprise Information Systems, ICEIS 2003 - Angers, France
Duration: 23 Apr 200326 Apr 2003

Publication series

NameICEIS 2003 - Proceedings of the 5th International Conference on Enterprise Information Systems
Volume2

Conference

Conference5th International Conference on Enterprise Information Systems, ICEIS 2003
Country/TerritoryFrance
CityAngers
Period23/04/0326/04/03

Keywords

  • Decision management
  • Natural language processing
  • Rework
  • Text mining

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