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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Replication Data for: A general mocked interface for the coupling library preCICE

Authors: Harrison-Wirth, Julian;

Replication Data for: A general mocked interface for the coupling library preCICE

Abstract

This is the replication data for the bachelor's thesis "A general mocked interface for the coupling library preCICE" by Julian Harrison-Wirth, written at the IPVS of the University of Stuttgart. It contains all the scripts used in development and the results used in the thesis. Files:Developments_Scripts contains scripts used in development, mainly for compatibility and regression tests, and example outputs of the scripts Determinism_Test_Results contains a script used to test the repeatability of the mock's data generationProfiling_Scripts contains scripts to profile and benchmark runs of tutorials against the mock Benchmark_Results contains the results of two runs of the above script used to measure the runtime of a tutorial using the mock Thesis abstract: Testing adapters for the preCICE coupling library requires full solver installations and complete coupling workflows, resulting in slow feedback cycles, brittle test environments, and high development overhead. This thesis presents a lightweight mock implementation of the preCICE Participant API that addresses these challenges through configuration parsing, deterministic data modes, and simulation of key lifecycle behaviors. The mock is implemented as a single C++ source file with minimal dependencies and integrated into existing preCICE build systems. The mock enables adapter testing in isolation without external solver dependencies, provides fully reproducible outputs through seeded pseudo-random data generation, and supports both explicit and implicit coupling schemes. Empirical validation demonstrates API compatibility with existing preCICE tutorials and training materials, deterministic behavior across repeated runs, and 2-5$\times$ performance improvements over full coupled simulations. By eliminating most external dependencies and enabling fast, deterministic test execution, the mock facilitates test-driven development practices and integration into continuous integration pipelines.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average