Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; 02,13
004 Data processing and Computer science
Successful information systems (IS) development requires the under-
standing of the real world domain in which the IS is situated in and of which it is
a representation. Developing such an understanding is the role of systems analy-
sis, the first major step in IS development. Conceptual models developed during
systems analysis are used to support understanding of and communication about
the real world domain.
Recent years have seen the emergence of the object-oriented approach in general
and UML special cally for IS design and implementation. However, no generally
accepted modelling language has been proposed for use during IS analysis.
This study will examine the suitability of UML as a conceptual modelling lan-
guage. This study comprises two parts. The first part studies UML from an
ontological perspective, attaches real-world semantics and derives ontologically
grounded rules for applying UML to conceptual modelling. It is argued that by
following these rules, modellers will improve the performance of the resultant
models. In a second step, the derived rules and proposed advantages must be
empirically supported. An experimental study is designed for this purpose.
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