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.
|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|
|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
|Name||Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003|
|Other||36th Annual Hawaii International Conference on System Sciences, HICSS 2003|
|Period||03/1/6 → 03/1/9|
Bibliographical noteFunding 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.
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Science Applications