Relationship analysis: A research plan for enhancing systems analysis for Web development

J. Catanio; A. Ghoda; A. Pal; Joonhee Yoo; M. Bieber; Il Im; R. Paul; F. Yetim

doi:10.1109/HICSS.2003.1174424

Relationship analysis: A research plan for enhancing systems analysis for Web development

J. Catanio, A. Ghoda, A. Pal, Joonhee Yoo, M. Bieber, Il Im, R. Paul, F. Yetim

Department of Business Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This research addresses a major shortcoming in today's analysis techniques. Neither structured nor object-oriented analysis techniques provide a formal process to identify relationships in a system being modeled. Existing techniques leave the relationship determination implicit; they are supposed to appear as a byproduct of the other analysis activities. We propose a comprehensive, systematic, domain-independent analysis technique, relationship analysis (RA), which focuses exclusively on a domain's relationship structure. RA serves two major purposes. First, it helps users, analysts and designers develop a deeper understanding of the application domain through making the relationships explicit. Second, RA results in fuller and richer application analyses and designs. Integration of RA with the object oriented analysis techniques like UP can provide a complete system architect solution.

Original language	English
Title of host publication	Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003
Editors	Ralph H. Sprague
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	0769518745, 9780769518749
DOIs	https://doi.org/10.1109/HICSS.2003.1174424
Publication status	Published - 2003
Event	36th Annual Hawaii International Conference on System Sciences, HICSS 2003 - Big Island, United States Duration: 2003 Jan 6 → 2003 Jan 9

Publication series

Name	Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003

Other

Other	36th Annual Hawaii International Conference on System Sciences, HICSS 2003
Country/Territory	United States
City	Big Island
Period	03/1/6 → 03/1/9

Bibliographical note

Funding Information:
We gratefully acknowledge partial funding support for this research by the Alfred P. Sloan Foundation, the NASA JOVE faculty fellowship program, the United Parcel Service, the New Jersey Center for Multimedia Research, the National Center for Transportation and Industrial Productivity at the New Jersey Institute of Technology (NJIT), the New Jersey Department of Transportation, the New Jersey Commission of Science and Technology, the National Science Foundation under grants EISA-9818309 and DUE-0226075, and NJIT's SBR program.

Publisher Copyright:
© 2003 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications

Access to Document

10.1109/HICSS.2003.1174424

Cite this

Catanio, J., Ghoda, A., Pal, A., Yoo, J., Bieber, M., Im, I., Paul, R., & Yetim, F. (2003). Relationship analysis: A research plan for enhancing systems analysis for Web development. In R. H. Sprague (Ed.), Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003 [1174424] (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HICSS.2003.1174424

Catanio, J. ; Ghoda, A. ; Pal, A. et al. / Relationship analysis : A research plan for enhancing systems analysis for Web development. Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. editor / Ralph H. Sprague. Institute of Electrical and Electronics Engineers Inc., 2003. (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003).

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abstract = "This research addresses a major shortcoming in today's analysis techniques. Neither structured nor object-oriented analysis techniques provide a formal process to identify relationships in a system being modeled. Existing techniques leave the relationship determination implicit; they are supposed to appear as a byproduct of the other analysis activities. We propose a comprehensive, systematic, domain-independent analysis technique, relationship analysis (RA), which focuses exclusively on a domain's relationship structure. RA serves two major purposes. First, it helps users, analysts and designers develop a deeper understanding of the application domain through making the relationships explicit. Second, RA results in fuller and richer application analyses and designs. Integration of RA with the object oriented analysis techniques like UP can provide a complete system architect solution.",

author = "J. Catanio and A. Ghoda and A. Pal and Joonhee Yoo and M. Bieber and Il Im and R. Paul and F. Yetim",

note = "Funding Information: We gratefully acknowledge partial funding support for this research by the Alfred P. Sloan Foundation, the NASA JOVE faculty fellowship program, the United Parcel Service, the New Jersey Center for Multimedia Research, the National Center for Transportation and Industrial Productivity at the New Jersey Institute of Technology (NJIT), the New Jersey Department of Transportation, the New Jersey Commission of Science and Technology, the National Science Foundation under grants EISA-9818309 and DUE-0226075, and NJIT's SBR program. Publisher Copyright: {\textcopyright} 2003 IEEE.; 36th Annual Hawaii International Conference on System Sciences, HICSS 2003 ; Conference date: 06-01-2003 Through 09-01-2003",

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Catanio, J, Ghoda, A, Pal, A, Yoo, J, Bieber, M, Im, I, Paul, R & Yetim, F 2003, Relationship analysis: A research plan for enhancing systems analysis for Web development. in RH Sprague (ed.), Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003., 1174424, Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003, Institute of Electrical and Electronics Engineers Inc., 36th Annual Hawaii International Conference on System Sciences, HICSS 2003, Big Island, United States, 03/1/6. https://doi.org/10.1109/HICSS.2003.1174424

Relationship analysis : A research plan for enhancing systems analysis for Web development. / Catanio, J.; Ghoda, A.; Pal, A. et al.

Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. ed. / Ralph H. Sprague. Institute of Electrical and Electronics Engineers Inc., 2003. 1174424 (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Pal, A.

AU - Yoo, Joonhee

AU - Bieber, M.

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AU - Yetim, F.

N1 - Funding Information: We gratefully acknowledge partial funding support for this research by the Alfred P. Sloan Foundation, the NASA JOVE faculty fellowship program, the United Parcel Service, the New Jersey Center for Multimedia Research, the National Center for Transportation and Industrial Productivity at the New Jersey Institute of Technology (NJIT), the New Jersey Department of Transportation, the New Jersey Commission of Science and Technology, the National Science Foundation under grants EISA-9818309 and DUE-0226075, and NJIT's SBR program. Publisher Copyright: © 2003 IEEE.

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N2 - This research addresses a major shortcoming in today's analysis techniques. Neither structured nor object-oriented analysis techniques provide a formal process to identify relationships in a system being modeled. Existing techniques leave the relationship determination implicit; they are supposed to appear as a byproduct of the other analysis activities. We propose a comprehensive, systematic, domain-independent analysis technique, relationship analysis (RA), which focuses exclusively on a domain's relationship structure. RA serves two major purposes. First, it helps users, analysts and designers develop a deeper understanding of the application domain through making the relationships explicit. Second, RA results in fuller and richer application analyses and designs. Integration of RA with the object oriented analysis techniques like UP can provide a complete system architect solution.

AB - This research addresses a major shortcoming in today's analysis techniques. Neither structured nor object-oriented analysis techniques provide a formal process to identify relationships in a system being modeled. Existing techniques leave the relationship determination implicit; they are supposed to appear as a byproduct of the other analysis activities. We propose a comprehensive, systematic, domain-independent analysis technique, relationship analysis (RA), which focuses exclusively on a domain's relationship structure. RA serves two major purposes. First, it helps users, analysts and designers develop a deeper understanding of the application domain through making the relationships explicit. Second, RA results in fuller and richer application analyses and designs. Integration of RA with the object oriented analysis techniques like UP can provide a complete system architect solution.

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BT - Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Catanio J, Ghoda A, Pal A, Yoo J, Bieber M, Im I et al. Relationship analysis: A research plan for enhancing systems analysis for Web development. In Sprague RH, editor, Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. Institute of Electrical and Electronics Engineers Inc. 2003. 1174424. (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003). doi: 10.1109/HICSS.2003.1174424

Relationship analysis: A research plan for enhancing systems analysis for Web development

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