A qualitative investigation of UML modeling conventions

Bart Du Bois, Christian F.J. Lange, Serge Demeyer, Michel R.V. Chaudron

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)


Analogue to the more familiar notion of coding conventions, modeling conventions attempt to ensure uniformity and prevent common modeling defects. While it has been shown that modeling conventions can decrease defect density, it is currently unclear whether this decreased defect density results in higher model quality, i.e., whether models created with modeling conventions exhibit higher fitness for purpose. In a controlled experiment1 with 27 master-level computer science students, we evaluated quality differences between UML analysis and design models created with and without modeling conventions. We were unable to discern significant differences w.r.t. the clarity, completeness and validity of the information the model is meant to represent. We interpret our findings as an indication that modeling conventions should guide the analyst in identifying what information to model, as well as how to model it, lest their effectiveness be limited to optimizing merely syntactic quality.

Original languageEnglish
Title of host publicationModels in Software Engineering - Workshops and Symposia at MoDELS 2006, Reports and Revised Selected Papers
Number of pages10
Publication statusPublished - 2007
EventModels in Software Engineering, Workshops and Symposia at MoDELS 2006 - Genoa, Italy
Duration: 1 Oct 20066 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4364 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceModels in Software Engineering, Workshops and Symposia at MoDELS 2006


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