Institutsseminar/2023-03-31

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Vorträge

Vortragende(r)	Tim Schilpp
Titel	Analyzing Different Approaches to Integrating Handwritten and Generated Object-oriented Code
Vortragstyp	Bachelorarbeit
Betreuer(in)	Erik Burger
Vortragsmodus	in Präsenz
Kurzfassung	Generating source code from models is one of the major advantages of a model-driven development process but most of the time this generated code does not suffice and developers are still required to write code by hand. This leads to the question of how to best integrate handwritten and generated code. Previous authors suggested a number of possible solutions to this problem of integrating handwritten and generated code but the possibilities to objectively compare these alternatives are still limited. Therefore we collected the different analysis criteria suggested by other authors as well as complemented them with additional criteria proposed by senior developers. We then applied these criteria to the possible integration approaches presented by previous authors to create an overview for developers to use when having to choose an integration approach for their model-driven project. Applying the results of this analysis we chose the best-fitting integration approach for the development of a large industrial development project and found out that migrating to this suggested integration approach would improve the overall software quality regarding complexity, coupling, and cohesion.

Vortragende(r)	Kaan Berk Yaman
Titel	The Kconfig Variability Framework as a Feature Model
Vortragstyp	Bachelorarbeit
Betreuer(in)	Christopher Gerking
Vortragsmodus	in Präsenz
Kurzfassung	The Kconfig variability framework is used to develop highly variable software such as the Linux kernel, ZephyrOS and NuttX. Kconfig allows developers to break down their software in modules and define the dependencies between these modules, so that when a concrete configuration is created, the semantic dependencies between the selected modules are fulfilled, ensuring that the resulting software product can function. Kconfig has often been described as a tool of define software product lines (SPLs), which often occur within the context of feature-oriented programming (FOP). In this paper, we introduce methods to transform Kconfig files into feature models so that the semantics of the model defined in a Kconfig file are preserved. The resulting feature models can be viewed with FeatureIDE, which allows the further analysis of the Kconfig file, such as the detection of redundant dependencies and cyclic dependencies.