Related Experiment Video
Updated: Nov 10, 2025

Surrogate Model Development for Digital Experiments in Welding
Published on: March 28, 2025
Making simulation results reproducible-Survey, guidelines, and examples based on Gradle and Docker
Wilfried Elmenreich1, Philipp Moll1, Sebastian Theuermann1
1Universität Klagenfurt, Klagenfurt, Austria.
Abstract:
This article addresses two research questions related to reproducibility within the context of research related to computer science. First, a survey on reproducibility addressed to researchers in the academic and private sectors is described and evaluated. The survey indicates a strong need for open and easily accessible results, in particular, reproducing an experiment should not require too much effort. The results of the survey are then used to formulate guidelines for making research results reproducible. In addition, this article explores four approaches based on software tools that could bring forward reproducibility in research results. After a general analysis of tools, three examples are further investigated based on actual research projects which are used to evaluate previously introduced tools. Results indicate that the evaluated tools contribute well to making simulation results reproducible but due to conflicting requirements, none of the presented solutions fulfills all intended goals perfectly.
More Related Videos
Related Concept Videos
Modeling and Similitude
Design Example: Aggregate Gradation
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
Surveys
Design Example: Managing Concrete Workability
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Data Collection by Survey

