Author List: Burton-Jones, Andrew; Meso, Peter N.;
Information Systems Research, 2006, Volume 17, Issue 1, Page 38-60.
During the early phase of systems development, systems analysts often conceptualize the domain under study and represent it in one or more conceptual models. One of the most important, yet elusive roles of conceptual models is to increase analysts’ understanding of a domain. In this paper, we evaluate the ability of the good decomposition model (GDM) (Wand and Weber 1990) to explain the degree to which conceptual models communicate meaning about a domain to analysts. We address the question, “Do unified modeling language (UML) analysis diagrams that manifest better decompositions increase analysts’ understanding of a domain?” GDM defines five conditions (minimality, determinism, losslessness, weak coupling, and strong cohesion) deemed necessary to decompose a domain in such a way that the resulting model communicates meaning about the domain effectively. In our evaluation, we operationalized each of these conditions in a set of UML diagrams and tested participants’ understanding of those diagrams. Our results lend support to GDM across measures of actual understanding. However, the impact on participants’ perceptions of their understanding was equivocal.
Keywords: Conceptual Model; Conceptualization; DECOMPOSITION; Object oriented; ONTOLOGY; SYSTEMS ANALYSIS; systems principles; Unified Modeling Language
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#216 0.470 conceptual model modeling object-oriented domain models entities representation understanding diagrams schema semantic attributes represented representing object relationships concepts classes entity-relationship
#159 0.105 systems information objectives organization organizational development variety needs need efforts technical organizations developing suggest given effective designing lack help recent
#137 0.081 phase study analysis business early large types phases support provided development practice effectively genres associated different sensemaking including form technologies
#74 0.063 high low level levels increase associated related characterized terms study focus weak hand choose general lower best predicted conditions implications
#238 0.062 shared contribution groups understanding contributions group contribute work make members experience phenomenon largely central key common especially major conceptualizing study
#263 0.059 instrument measurement factor analysis measuring measures dimensions validity based instruments construct measure conceptualization sample reliability development develop responses assess use
#108 0.051 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper