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Aktuelle Version vom 13. Februar 2025, 14:54 Uhr
| Datum | Freitag, 28. März 2025 | |
|---|---|---|
| Uhrzeit | 14:00 – 14:30 Uhr (Dauer: 30 min) | |
| Ort | Raum 348 (Gebäude 50.34) | |
| Prüfer/in | ||
| Webkonferenz | https://sdq.kastel.kit.edu/wiki/SDQ-Institutsseminar/Microsoft Teams | |
| Vorheriger Termin | Mo 24. März 2025 | |
| Nächster Termin | Fr 23. Mai 2025 |
Termin in Kalender importieren: iCal (Download)
Vorträge
| Vortragende(r) | Anne-Kathrin Hermann |
|---|---|
| Vortragstyp | Vortrag |
| Betreuer(in) | Lars König |
| Vortragssprache | Englisch |
| Vortragsmodus | in Präsenz |
| Kurzfassung | In recent years, low-code development has been established as an innovative method for software development. It enables the development of a wide range of applications using graphical tools, with little or no knowledge of text-based programming languages. Closely related is model-driven development, where models play a primary role in specifying software systems and generating code partially automatically. While model-driven development supports development processes where developers from different domains work on different models that are kept consistent, in practice, classical model-driven tools are often difficult to use for domain experts with a less technical background. To bridge this gap, we propose a concept for integrating low-code platforms through projective views into model-driven development environments. We provide an initial evaluation of the feasibility of our concept using a development platform for smart home systems as a case study. |
| Vortragende(r) | Alexander Milster |
|---|---|
| Vortragstyp | Bachelorarbeit |
| Betreuer(in) | Robin Maisch |
| Vortragssprache | Deutsch |
| Vortragsmodus | in Präsenz |
| Kurzfassung | Currently, commonly used plagiarism detection tools can only handle code from one language for a single run.
This thesis deals with two different sub-problems. Firstly, parsing and comparing the code of each occurring language in a single submission set separately (multi-language plagiarism detection) and, secondly, comparing submissions as a whole, despite containing code from multiple languages (cross-language plagiarism detection). In this thesis, we propose supporting multi-language plagiarism detection by concatenating the token lists. For cross-language plagiarism detection, we propose a set of language-agnostic tokens and rules for the order they should be extracted in, which have to be implemented for each supported language. In addition, a dynamic approach that allows more flexible matching of tokens is considered. |
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