Cognitive engineering study on the development of an object-oriented process modeling formalism

Hyoungmee Hahn, Jungpil Hahn, Jin Woo Kim

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

4 Citations (Scopus)

Abstract

The task of Business Engineering (BE) would be effective if provided with tools that support the analysis and understanding of a business system. This study aims at 1) empirically investigating the cognitive processes of analyzing multiple models of the object-oriented methodology, 2) identifying the problem solving strategy for understanding a business system, and 3) proposing a modeling formalism that fits the problem solving strategy. The results of this study show that existing object-oriented methodologies need to be revised for providing integrated and multi-dimensional views of the core business process. We suggest low-level use case diagrams and time, cost and quality dimensional message trace diagrams to provide a comprehensive modeling formalism of object-oriented business engineering.

Original languageEnglish
Title of host publicationInformation Systems - Collaboration Systems and Technology
Editors Anon
Pages199-209
Number of pages11
DOIs
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 30th Annual Hawaii International Conference on System Sciences. Part 1 (of 6) - Wailea, HI, USA
Duration: 1997 Jan 71997 Jan 10

Publication series

NameProceedings of the Hawaii International Conference on System Sciences
Volume2
ISSN (Print)1060-3425

Other

OtherProceedings of the 1997 30th Annual Hawaii International Conference on System Sciences. Part 1 (of 6)
CityWailea, HI, USA
Period97/1/797/1/10

All Science Journal Classification (ASJC) codes

  • Software
  • Industrial and Manufacturing Engineering

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    Hahn, H., Hahn, J., & Kim, J. W. (1997). Cognitive engineering study on the development of an object-oriented process modeling formalism. In Anon (Ed.), Information Systems - Collaboration Systems and Technology (pp. 199-209). (Proceedings of the Hawaii International Conference on System Sciences; Vol. 2). https://doi.org/10.1109/HICSS.1997.665475