Exploring actions, interactions and challenges in software modelling tasks : an empirical investigation with students

dc.contributor.authorChakraborty, Shalini
dc.contributor.authorTroya, Javier
dc.contributor.authorBurgueño, Lola
dc.contributor.authorLiebel, Grischa
dc.contributor.departmentDepartment of Computer Science
dc.date.accessioned2026-09-02T15:02:01Z
dc.date.available2026-09-02T15:02:01Z
dc.date.issued2026-07
dc.descriptionPublisher Copyright: © The Author(s) 2026.en
dc.description.abstractBackground: Software modelling is a creative yet challenging task. Modellers often find themselves lost in the process, from understanding the modelling problem to solving it with proper modelling strategies and modelling tools. Students learning modelling often get overwhelmed with the notations and tools. To teach students systematic modelling, we must investigate students’ practical modelling knowledge and the challenges they face while modelling. Aim: We aim to explore students’ modelling knowledge and modelling actions. Further, we want to investigate students’ challenges while solving a modelling task on specific modelling tools. Method: We conducted an empirical study by observing 16 pairs of students from two universities and countries solving modelling tasks for one hour. Results: We find distinct patterns of modelling of class and sequence diagrams based on individual modelling styles, the tools’ interface and modelling knowledge. We observed how modelling tools influence students’ modelling styles and how they can be used to foster students’ confidence and creativity. Based on these observations, we developed a set of guidelines aimed at enhancing modelling education and helping students acquire practical modelling skills. Conclusions: The guidance for modelling in education needs to be structured and systematic. Our findings reveal that different modelling styles exist, which should be properly studied. It is essential to nurture the creative aspect of a modeller, particularly while they are still students. Therefore, selecting the right tool is important, and students should understand how a tool can influence their modelling style.en
dc.description.versionPeer revieweden
dc.format.extent2177739
dc.format.extent
dc.identifier.citationChakraborty, S, Troya, J, Burgueño, L & Liebel, G 2026, 'Exploring actions, interactions and challenges in software modelling tasks : an empirical investigation with students', Empirical Software Engineering, vol. 31, no. 4, 97. https://doi.org/10.1007/s10664-026-10815-5en
dc.identifier.doi10.1007/s10664-026-10815-5
dc.identifier.issn1382-3256
dc.identifier.other250713939
dc.identifier.other30563446-9a6a-45d6-ab3a-ccd936e4b517
dc.identifier.other105033336672
dc.identifier.urihttps://hdl.handle.net/20.500.11815/8155
dc.language.isoen
dc.relation.ispartofseriesEmpirical Software Engineering; 31(4)en
dc.relation.urlhttps://www.scopus.com/pages/publications/105033336672en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectEducationen
dc.subjectObservation Studyen
dc.subjectSoftware Modellingen
dc.subjectUMLen
dc.subjectSoftwareen
dc.titleExploring actions, interactions and challenges in software modelling tasks : an empirical investigation with studentsen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/articleen

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