Mistakes in UML Diagrams: Analysis of Student Projects in a Software Engineering Course


Publikace nespadá pod Filozofickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.


CHREN Stanislav BÜHNOVÁ Barbora MACÁK Martin DAUBNER Lukáš ROSSI Bruno

Rok publikování 2019
Druh Článek ve sborníku
Konference Proceedings of the 41st International Conference on Software Engineering: Software Engineering Education and Training
Fakulta / Pracoviště MU

Fakulta informatiky

Doi http://dx.doi.org/10.1109/ICSE-SEET.2019.00019
Klíčová slova Software Engineering; Unified Modelling Language; Common Mistakes; Software Engineering Course
Popis The Unified Modelling Language (UML) is being widely accepted as a standard modelling notation for visualizing software systems during design and development. UML has thus become part of many software engineering course curricula at universities worldwide, providing a recognized tool for practical training of students in understanding and visualizing software design. It is however common that students have difficulties in absorbing UML in its complexity, and often repeat the same mistakes that have been observed by course tutors in previous years. Having a catalogue of such mistakes could hence increase the effectiveness of both teaching and learning of UML diagrams. In this paper, we present such a catalogue, consisting of 146 types of mistakes in eight types of diagrams. As the main contribution of this study, we use this catalogue to guide the analysis of student projects within a software engineering course. In total, over 2,700 diagrams submitted over 12 weeks of a semester by 123 students were analysed to identify the frequency of mistakes (from the catalogue), correlations of the mistakes between different diagram types, correlation of the quality of student projects to exam results, student behaviour in terms of introducing and fixing the mistakes over time, and other interesting insights. The analysis is described together with its setup and execution, and all datasets and detailed guidebook to the catalogue of all mistakes is made available for download.
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