Scenario-based modeling to capture requirements for immune inspired profile adaptation

Nurulhuda Firdaus Mohd Azmi, Jon Timmis, Fiona Polack

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

1 Citation (SciVal)

Abstract

The human immune system has characteristics such as self-organisation, robustness and adaptivity that may be useful in the development of adaptive systems. One suitable application area for adaptive systems is Information Filtering (IF). Within the context of IF, learning and adapting user profiles is an important research area. In this paper, we proposed an architecture for adaptive IF incorporating ideas from Artificial Immune Systems (AIS). We then extract general features of potential immune inspired profile adaptation based on scenario-based modeling. The richness of scenario usage which we have encountered in this work indicates the importance of comprehensive process guidance.

Original languageEnglish
Title of host publication2013 8th International Conference on Information Technology in Asia - Smart Devices Trend
Subtitle of host publicationTechnologising Future Lifestyle, Proceedings of CITA 2013
PublisherIEEE Press
ISBN (Print)9781479910922
DOIs
Publication statusPublished - 2013
Event2013 8th International Conference on Information Technology in Asia, CITA 2013 - Kota Samarahan, Malaysia
Duration: 01 Jul 201304 Jul 2013

Publication series

Name2013 8th International Conference on Information Technology in Asia - Smart Devices Trend: Technologising Future Lifestyle, Proceedings of CITA 2013

Conference

Conference2013 8th International Conference on Information Technology in Asia, CITA 2013
Country/TerritoryMalaysia
CityKota Samarahan
Period01 Jul 201304 Jul 2013

Keywords

  • Artificial Immune Systems (AIF)
  • Information Filtering (IF)
  • Profile Adaptation
  • Requirement Analysis
  • Scenario-based modeling

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