36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the (2003)
Big Island, Hawaii
Jan. 6, 2003 to Jan. 9, 2003
Joseph Catanio , New Jersey Institute of Technology
Joonhee Yoo , Rutgers University
Ashish Ghoda , New Jersey Institute of Technology
Michael Bieber , New Jersey Institute of Technology
Atanu Pal , New Jersey Institute of Technology
Il Im , New Jersey Institute of Technology
Fahri Yetim , New Jersey Institute of Technology
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.
A. Pal et al., "Relationship Analysis: A Research Plan for Enhancing Systems Analysis For Web Development," 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the(HICSS), Big Island, Hawaii, 2003, pp. 186a.