Architecture Recovery from Fortran Code with Kieker
| dc.contributor.author | Jung, Reiner | |
| dc.contributor.author | Schnoor, Henning | |
| dc.contributor.author | Gundlach, Sven | |
| dc.contributor.author | Hasselbring, Wilhelm | |
| dc.contributor.editor | Herrmann, Andrea | |
| dc.date.accessioned | 2024-02-22T10:37:52Z | |
| dc.date.available | 2024-02-22T10:37:52Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Scientific models are software systems, which are key to understand and assess a range of challenges, such as climate change mitigation. However, such models are usually developed over decades. To support program comprehension for software maintenance and restructuring, we designed an architecture recovery process for Fortran-based scientific models utilizing Kieker 4 C to collect call traces at runtime. Furthermore, we derive structural information from the recovered architecture. In this paper, we present our analysis process and some results from analyzing three scientific models. Additionally, we describe how to use the information obtained by our analysis to identify possible optimizations of the scientific models. | en |
| dc.identifier.issn | 0720-8928 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43643 | |
| dc.language.iso | en | |
| dc.pubPlace | Bonn | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Softwaretechnik-Trends Band 43, Heft 1 | |
| dc.relation.ispartofseries | Softwaretechnik-Trends | |
| dc.subject | Kieker | |
| dc.subject | maintenance | |
| dc.subject | architecture | |
| dc.subject | recovery | |
| dc.title | Architecture Recovery from Fortran Code with Kieker | en |
| dc.type | Text/Conference Paper | |
| mci.conference.date | 7.-9.11.2022 | |
| mci.conference.location | Stuttgart | |
| mci.conference.sessiontitle | 13th Symposium on Software Performance (SSP) | |
| mci.reference.pages | 38-40 |
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