Effective integration of task-based modeling and object-oriented specifications

Anke Dittmar, Ashraf Gaffar

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

Abstract

This paper proposes an integration of task modeling and object-oriented analysis approaches. We argue that task-based approaches are more appropriate to analyze existing working situations and to elicit user needs. In subsequent stages like design and implementation, an object-oriented approach is warranted since most of the developer's skills, techniques, and tools are better matched to object-oriented representations. We show that such amalgamation, when supported by systematic transformation from a goal- and action-oriented perspective to "thinking in objects", can have several advantages for both approaches.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationInteraction Design and Usability - 12th International Conference, HCI International 2007, Proceedings
Pages1092-1101
Number of pages10
EditionPART 1
StatePublished - Dec 1 2007
Event12th International Conference on Human-Computer Interaction, HCI International 2007 - Beijing, China
Duration: Jul 22 2007Jul 27 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4550 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Human-Computer Interaction, HCI International 2007
CountryChina
CityBeijing
Period7/22/077/27/07

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Dittmar, A., & Gaffar, A. (2007). Effective integration of task-based modeling and object-oriented specifications. In Human-Computer Interaction: Interaction Design and Usability - 12th International Conference, HCI International 2007, Proceedings (PART 1 ed., pp. 1092-1101). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4550 LNCS, No. PART 1).