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The effects of education on students' perception of modeling in software engineering

Badreldin, Omar and Lethbridge, Timothy and Sturm, Arnon and Dixon, Waylon and Hamou-Lhadj, Abdelwahab and Simmons, Ryan (2015) The effects of education on students' perception of modeling in software engineering. In: HuFaMo 2015 Human Factors in Modeling: Proceedings of the First International Workshop on Human Factors in Modeling co-located with ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS 2015), September 28, 2015, Ottawa, Canada.

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Abstract

Models in software engineering bring significant potential in improvements of productivity of engineers, and improved quality of the artifacts they produce. Despite this significant potential, modeling adoption in practice remains rather low. Computer Science and software engineering curriculums may be one factor that causes this low adoption. In this study, we investigate the effects of education on students’ perception of modeling. We conducted a survey in three separate institutions, in Canada, Israel, and the U.S. The survey covers various aspects of modeling and addresses students ranging from a first year in undergraduate studies until final years in graduate studies. The survey’s findings suggest that the perception of undergraduate students towards modeling declines as they progress in their studies. While graduate students tend to be more favorable of modeling, their perception also declines over the years. The results also suggest that students prefer more modeling content to be integrated earlier in the curriculum.

Item Type: Conference or Workshop Item (Paper)
Publisher’s Statement: http://ceur-ws.org/Vol-1522/
Additional Information: ISSN 1613-0073
Keywords: Survey of Perceptions, Pedagogy, Modeling in Software Engineering, UML, Education, HuFaMo 2015
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
NAU Depositing Author Academic Status: Faculty/Staff
Department/Unit: College of Engineering, Forestry, and Natural Science > Electrical and Computer Engineering
College of Arts and Letters > School of Music
Date Deposited: 27 Jul 2018 18:33
URI: http://openknowledge.nau.edu/id/eprint/2943

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