From Difficulties to Functional Requirements - Deriving Requirements from Literature about Tool-supported Teaching of UML Diagrams in Software Engineering Education

Author:

Huber Florian1ORCID,Eigler Tobias1ORCID,Hagel Georg1ORCID,Wolff Christian2ORCID

Affiliation:

1. Kempten University of Applied Sciences, Germany

2. University of Regensburg, Germany

Publisher

ACM

Reference47 articles.

1. Sohail Alhazmi , Charles Thevathayan , and Margaret Hamilton . 2021. Learning UML Sequence Diagrams with a New Constructivist Pedagogical Tool: SD4ED . Association for Computing Machinery , New York, NY, USA , 893–899. https://doi.org/10.1145/3408877.3432521 10.1145/3408877.3432521 Sohail Alhazmi, Charles Thevathayan, and Margaret Hamilton. 2021. Learning UML Sequence Diagrams with a New Constructivist Pedagogical Tool: SD4ED. Association for Computing Machinery, New York, NY, USA, 893–899. https://doi.org/10.1145/3408877.3432521

2. UML DIAGRAM LEARNING TOOL;Ali Norhayati Mohd;UNIVERSITY CARNIVAL on e-LEARNING (IUCEL),2018

3. Weiyi Bian , Omar Alam , and Jörg Kienzle . 2019 . Automated Grading of Class Diagrams. In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). 700–709 . https://doi.org/10.1109/MODELS-C.2019.00106 10.1109/MODELS-C.2019.00106 Weiyi Bian, Omar Alam, and Jörg Kienzle. 2019. Automated Grading of Class Diagrams. In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). 700–709. https://doi.org/10.1109/MODELS-C.2019.00106

4. Towards Personalized Feedback in a Smart Learning Environment For Teaching Conceptual Modelling

5. Younes Boubekeur , Gunter Mussbacher , and Shane McIntosh . 2020. Automatic Assessment of Students ’ Software Models Using a Simple Heuristic and Machine Learning . Association for Computing Machinery , New York, NY, USA . https://doi.org/10.1145/3417990.34 1874 1 10.1145/3417990.3418741 Younes Boubekeur, Gunter Mussbacher, and Shane McIntosh. 2020. Automatic Assessment of Students’ Software Models Using a Simple Heuristic and Machine Learning. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3417990.3418741

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