A pattern-based approach for improving model quality

verfasst von

Mira Balaban, Azzam Maraee, Arnon Sturm, Pavel Jelnov

Abstract

UML class diagrams play a central role in modeling activities, and it is essential that class diagrams keep their high quality all along a product life cycle. Correctness problems in class diagrams are mainly caused by complex interactions among class-diagram constraints. Detection, identification, and repair of such problems require background training. In order to improve modelers’ capabilities in these directions, we have constructed a catalog of anti-patterns of correctness and quality problems in class diagrams, where an anti-pattern analyzes a typical constraint interaction that causes a correctness or a quality problem and suggests possible repairs. This paper argues that exposure to correctness anti-patterns improves modeling capabilities. The paper introduces the catalog and its pattern language, and describes experiments that test the impact of awareness to modeling problems in class diagrams (via concrete examples and anti-patterns) on the analysis capabilities of modelers. The experiments show that increased awareness implies increased identification. The improvement is remarkably noticed when the awareness is stimulated by anti-patterns, rather than by concrete examples.

Organisationseinheit(en)

Institut für Arbeitsökonomik

Externe Organisation(en)

Ben-Gurion University of the Negev (BGU)
Tel Aviv University

Typ

Artikel

Journal

Software and systems modeling

Band

14

Seiten

1527-1555

Anzahl der Seiten

29

ISSN

1619-1366

Publikationsdatum

03.01.2014

Publikationsstatus

Elektronisch veröffentlicht (E-Pub)

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Software, Modellierung und Simulation

Ziele für nachhaltige Entwicklung

SDG 4 – Qualitativ hochwertige Bildung

Elektronische Version(en)

https://doi.org/10.1007/s10270-013-0390-0 (Zugang: Geschlossen)