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Vorträge
Low-Code in der Sichtenbasierten Entwicklung
| Vortragende(r)
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Anne-Kathrin Hermann
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| Vortragstyp
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Vortrag
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| Betreuer(in)
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Lars König
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| Vortragssprache
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Englisch
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| Vortragsmodus
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in Präsenz
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| Kurzfassung
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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.
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Multi-Language and Cross-Language Software Plagiarism Detection
| Vortragende(r)
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Alexander Milster
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| Vortragstyp
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Bachelorarbeit
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| Betreuer(in)
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Robin Maisch
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| Vortragssprache
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Deutsch
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| Vortragsmodus
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in Präsenz
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| Kurzfassung
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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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