Informational systems designing and implementation

• Autorzy: Radic M.
• Języki publikacji: EN

Abstrakty

EN

Purpose: Problems which are likely manifest themselves in the course of implementation cannot be envisaged at the design stage of an informational system without employing the approach presented in this paper. Design/methodology/approach: All the procedures as well as all the processes need to be located through application of both analysis and synthesis; a through dismembering to the most plain constituent element to be made followed by reintegration the same into a whole of mutually connected elements. The quest of a method providing for optimum results is solved theoretically as well as practically, given that any problem which may appear in the course of implementation of the system had been resolved through analytic approach at the very start of the design stage. Such approach provides for the only viable manner for an applied informational system to be optimally utilized at minimum costs. Findings: This has been reconfirmed and proven by research monitoring and analysis of a number of informational systems applied in various organizations from shipyards, oil/petrochemical plants, steel mills etc., and way further to nonindustrial organizations, such as hospitals. Research limitations/implications: Analytical/synthetical approach led to a conclusion that all stages of design and development of an informational system are of equal importance, so each and everyone of them must be given equally careful consideration. Practical implications: By employment of data flow model all complex processes have been solved, all basic elements having been featured on the model with the logically required mutual connections. Linkage and basic elements flow sequence represents the basic for successful problems resolve in any informational system. Originality/value: This scientific, engineering approach to problems solving in the system operational use provides for applicability in most various cases, such as where design, development, implementation of an informational system represents the very basic for a sound and profitable business operation of an organization. Besides; the approach provides for wide flexibility and range in problems solving, whereby the same can be predicted, located and interconnected.

Słowa kluczowe

EN

engineering approach; process modelling; data flow model; data modelling; entity relationship modelling

PL

podejście inżynierskie; modelowanie procesów; model przepływu danych; modelowanie danych; modelowanie związków encji

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2006
• Tom: Vol. 18, nr 1-2
• Strony: 307--310
• Opis fizyczny: Bibliogr. 13 poz., rys.

Twórcy

autor

Radic M.

• Pramac d.o.o., Ludvetov breg 18, 51000 Rijeka, Croatia

Bibliografia

• [1] Croatian Information Tehnology Society (CITS), “CASE 15”, CASE, Opatija, Croatia, 2003. (in croatian)
• [2] A. Cariü, Research and progress, Element, Zagreb, 2003. (in croatian)
• [3] IBM, Business Systems Plannning, IBM, 1984.
• [4] S. Alagiü, Relationship DATA BASE, Svjetlost, Sarajevo 1998. (in croatian)
• [5] B. Lazareviü, V. Jovanoviü, M. Vuþkoviü, Informational system designing, I & II Part, Nauþna knjiga, Beograd 1999. (in croatian)
• [6] R. Fairley, Software Engineering Concepts, McGraw-Hill 2001.
• [7] S. Tkalec, Relationship model, Informator, Zagreb 1998. (in croatian)
• [8] J. Martin, C. McClure, Structured techniques for computing, Prentice-Hall, Inc., Englewood Cliffs, New Yearly 2002.
• [9] M. Page-Jones, The practical Guide to Structured System Design, Prentice-Hall, Inc., Englewood Clifts, New Yersey 2001.
• [10] S. Dasgupta, Design Theory and Computer Science, Cambridge University Press, Cambridge, 1991.
• [11] W. Stallings, Computer Organization and Architecture, Macmillan Publishing Company, New York, 1987.
• [12] J.R. Bourne, Object - Oriented Engineering, Aksen Associates Incorporated Publishers, Nashville, 1992.
• [13] J.M. Kerr, The Data-driven Harvest, Database Programming and Design, 2000.