Auflistung nach Autor:in "Frick, Veit"
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- KonferenzbeitragExploring Visual Comparison of Multivariate Runtime Statistics(Softwaretechnik-Trends Band 39, Heft 3, 2019) Tarner, Hagen; Frick, Veit; Pinzger, Martin; Beck, FabianTo understand program behavior or find performance bottlenecks in their software, developers need tools to efficiently compare runtime statistics collected across multiple executions. As there is a variety of useful metrics, a good visualization needs to be able to handle multivariate data and highlight the most important differences between multiple versions. We identify three scenarios for the comparison of execution-relevant changes, and explore possible visualizations of the gathered multivariate runtime statistics.
- KonferenzbeitragGame Jamming as a Participatory Design Approach to Foster Adolescents’ Digital Competence: Game Jamming als partizipativer Designansatz zur Förderung der digitalen Kompetenzen Adoleszenter(Mensch und Computer 2023 - Tagungsband, 2023) Kreuder, Annika; Frick, Veit; Schlittmeier, Sabine J.; Frick, UlrichAdolescents and young adults represent the largest and most active age group of Internet users worldwide. However, contrary to the notion of naturally acquired digital competences, many lack an understanding of technology and the associated risks. Serious games are a promising way to promote self-regulatory digital competences. In the A-DigiKomp project, a three-day online game jam with adolescents was organized to involve the target group in the user-centered development process of game ideas for more digital empowerment. Three prototypes on the topic of data protection and online safety were developed as part of the CGN game jam. Personal experiences and target group-specific knowledge of adolescents were successfully addressed. The potential of game jams as a participatory research method is investigated and implications for future use cases are derived. ZUSAMMENFASSUNG Jugendliche und junge Erwachsene stellen weltweit die größte und aktivste Altersgruppe von Internetnutzer*innen dar. Entgegen der Vorstellung natürlich erworbener digitaler Kompetenzen, fehlt es vielen jedoch an einem Verständnis für Technik und den damit verbundenen Risiken. Serious Games sind eine vielversprechende Möglichkeit selbstregulative digitale Kompetenzen zu fördern. Im Projekt A-DigiKomp wurde ein dreitätiger online Game Jam mit Adoleszenten veranstaltet, um die Zielgruppe in den user-zentrierten Entwicklungsprozess von Spielideen zur Förderung digitaler Handlungsfähigkeit einzubeziehen. Drei Prototypen zum Thema Datenschutz und Online-Sicherheit wurden im Rahmen des CGN Game Jams entwickelt. Persönliche Erfahrungen und zielgruppenspezifisches Wissen Adoleszenter wurden erfolgreich aufgegriffen. Das Potenzial von Game Jams als partizipative Forschungsmethode wird untersucht und Implikationen für zukünftige Veranstaltungen abgeleitet.
- KonferenzbeitragGenerating Accurate and Compact Edit Scripts using Tree Differencing(Software Engineering 2020, 2020) Frick, Veit; Grassauer, Thomas; Beck, Fabian; Pinzger, MartinFor analyzing changes in source code, edit scripts are used to describe the differences between two versions of a file. These scripts consist of a list of actions that, applied to the source file, result in the new version of the file. In contrast to line-based source code differencing, tree-based approaches such as GumTree, MTDIFF, or ChangeDistiller extract changes by comparing the abstract syntax trees (AST) of two versions of a source file. One benefit of tree-based approaches is their ability to capture moved (sub)trees in the AST. Our approach, the Iterative Java Matcher (IJM), builds upon GumTree and aims at generating more accurate and compact edit scripts that capture the developer's intent. This is achieved by improving the quality of the generated move and update actions, which are the main source of inaccurate actions generated by previous approaches. To evaluate our approach, we conducted a study with 11 external experts and manually analyzed the accuracy of 2400 randomly selected edit actions. Comparing IJM to GumTree and MTDIFF, the results show that IJM provides better accuracy for move and update actions and is more beneficial to understanding the changes.