A Systematic Literature Review on the Quality of UML Models
M. Genero,
A. M. Fernandez,
H. J. Nelson,
Geert Poels () and
M. Piattini
Additional contact information
M. Piattini: -
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium from Ghent University, Faculty of Economics and Business Administration
Abstract:
The quality of conceptual models directly affects the quality of the understanding of the application domain and the quality of the final software products that are ultimately based upon them. The field of research into conceptual modelling research is still young and is still evolving. This paper describes a systematic literature review (SLR) of peer-reviewed conference and journal articles published between 1997 and 2007 on this topic so that we may understand the state-of-the-art and then identify any gaps in current research. Six digital libraries were searched, and 193 papers dealing with the quality of UML models were identified and classified into five dimensions: type of model quality, type of evidence, type of research result, type of diagram and research goal. The results indicate that the field is indeed still young and evolving with a great deal of research dedicated to semantic consistency and to improving the understandability of UML diagrams. However, much more empirical research is needed to develop a theoretical understanding of conceptual model quality. The classification scheme developed in this paper can serve as a guide for both researchers and practitioners.
Keywords: UML; conceptual model quality; systematic literature review (search for similar items in EconPapers)
Pages: 2 pages
Date: 2009-08
References: Add references at CitEc
Citations:
Downloads: (external link)
http://wps-feb.ugent.be/Papers/wp_09_605.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rug:rugwps:09/605
Access Statistics for this paper
More papers in Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium from Ghent University, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Nathalie Verhaeghe ().