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Architecture Recovery from Fortran Code with Kieker

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dc.contributor.authorJung, Reiner
dc.contributor.authorSchnoor, Henning
dc.contributor.authorGundlach, Sven
dc.contributor.authorHasselbring, Wilhelm
dc.contributor.editorHerrmann, Andrea
dc.date.accessioned2024-02-22T10:37:52Z
dc.date.available2024-02-22T10:37:52Z
dc.date.issued2023
dc.description.abstractScientific 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.issn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43643
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 43, Heft 1
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectKieker
dc.subjectmaintenance
dc.subjectarchitecture
dc.subjectrecovery
dc.titleArchitecture Recovery from Fortran Code with Kiekeren
dc.typeText/Conference Paper
mci.conference.date7.-9.11.2022
mci.conference.locationStuttgart
mci.conference.sessiontitle13th Symposium on Software Performance (SSP)
mci.reference.pages38-40

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Softwaretechnik-Trends 43(1) - 2023