REFINTO: An Ontology-Based Requirements Engineering Framework for Business-IT Alignment in Financial Services Organizations

Emem Umoh, Pedro R Falcone Sampaio, Babis Theodoulidis

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

Abstract

This paper proposes an ontology-based framework and tool to guide the requirements engineering process in RAD projects for financial solution application development. The framework is aimed at empowering IT, business and solutions analysts with a knowledge repository that helps to address terminology gaps between different project stakeholders and quickly manage the requirements engineering process in response to rapidly changing business demands. We also illustrate how the framework and tool are being used to support RAD projects in the development of financial trading systems for a top 5 global investment bank. The framework and tool help to bridge the knowledge and communication gap alleviating the business-IT alignment problem in financial solution application development.
Original languageEnglish
Title of host publication2011 IEEE International Conference on Services Computing
Place of Publicationhttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6009312
PublisherIEEE
Pages600-607
Number of pages8
ISBN (Print)978-1-4577-0863-3, 9780769544625
DOIs
Publication statusPublished - Jul 2011
Event2011 IEEE International Conference on Services Computing, SCC 2011 - Washington, DC
Duration: 1 Jul 2011 → …

Conference

Conference2011 IEEE International Conference on Services Computing, SCC 2011
CityWashington, DC
Period1/07/11 → …

Keywords

  • Business-IT Alignment
  • Capability maturity model
  • Cognition
  • Engineering
  • Industries
  • Ontologies
  • Ontology
  • Organizations
  • RAD projects
  • REFINTO
  • Rapid Application Development
  • bank data processing
  • business-IT alignment problem
  • financial service organization
  • financial solution application development
  • financial trading system
  • global investment bank
  • information technology
  • investment
  • knowledge repository
  • ontologies (artificial intelligence)
  • ontology-based requirements engineering framework
  • project stakeholders

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