Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (1)

Search Parameters:
Keywords = software remodularization

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
21 pages, 2023 KB  
Article
Using Genetic Algorithms for Research Software Structure Optimization
by Henning Schnoor, Wilhelm Hasselbring and Reiner Jung
Software 2025, 4(4), 26; https://doi.org/10.3390/software4040026 - 28 Oct 2025
Viewed by 974
Abstract
Our goal is to generate restructuring recommendations for research software systems based on software architecture descriptions that were obtained via reverse engineering. We reconstructed these software architectures via static and dynamic analysis methods in the reverse engineering process. To do this, we combined [...] Read more.
Our goal is to generate restructuring recommendations for research software systems based on software architecture descriptions that were obtained via reverse engineering. We reconstructed these software architectures via static and dynamic analysis methods in the reverse engineering process. To do this, we combined static and dynamic analysis for call relationships and dataflow into a hierarchy of six analysis methods. For generating optimal restructuring recommendations, we use genetic algorithms, which optimize the module structure. For optimizing the modularization, we use coupling and cohesion metrics as fitness functions. We applied these methods to Earth System Models to test their efficacy. In general, our results confirm the applicability of genetic algorithms for optimizing the module structure of research software. Our experiments show that the analysis methods have a significant impact on the optimization results. A specific observation from our experiments is that the pure dynamic analysis produces significantly better modularizations than the optimizations based on the other analysis methods that we used for reverse engineering. Furthermore, a guided, interactive optimization with a domain expert’s feedback improves the modularization recommendations considerably. For instance, cohesion is improved by 57% with guided optimization. Full article
Show Figures

Figure 1

Back to TopTop