Heidrich, David und Schreiber, Andreas und Oberdörfer, Sebastian (2023) Towards Generating Labeled Property Graphs for Comprehending C#-based Software Projects. In: 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022 (228), Seiten 1-4. Association for Computing Machinery. 37th IEEE/ACM International Conference on Automated Software Engineering, 2022-10-10 - 2022-10-14, Rochester, USA. doi: 10.1145/3551349.3560513. ISBN 978-145039475-8.
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Offizielle URL: https://dl.acm.org/doi/10.1145/3551349.3560513
Kurzfassung
C# is the most widely used programming language among XR developers. However, only a limited number of graph-based data acquisition tools exist for C# software. XR development commonly relies on reusing existing software components to accelerate development. Graph-based visualization tools can facilitate this comprehension process, e.g., by providing an overview of relationships between components. This work describes a new tool called Src2Neo that generates labeled property graphs of C#-based software projects. The stored graph follows a simple C# naming scheme and - contrary to other solutions - maps each software entity to exactly one node. The resulting graph facilitates the comprehension process by providing an easy to read representation of software components. Additionally, the generated graphs can act as a data basis for more advanced software visualizations without the need for complex data requests.
elib-URL des Eintrags: | https://elib.dlr.de/198581/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Towards Generating Labeled Property Graphs for Comprehending C#-based Software Projects | ||||||||||||||||
Autoren: |
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Datum: | 5 Januar 2023 | ||||||||||||||||
Erschienen in: | 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
DOI: | 10.1145/3551349.3560513 | ||||||||||||||||
Seitenbereich: | Seiten 1-4 | ||||||||||||||||
Verlag: | Association for Computing Machinery | ||||||||||||||||
ISBN: | 978-145039475-8 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | software visualization, software comprehension, labeled property graph, c#, game engines | ||||||||||||||||
Veranstaltungstitel: | 37th IEEE/ACM International Conference on Automated Software Engineering | ||||||||||||||||
Veranstaltungsort: | Rochester, USA | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 10 Oktober 2022 | ||||||||||||||||
Veranstaltungsende: | 14 Oktober 2022 | ||||||||||||||||
Veranstalter : | ACM | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Analytik und Visualisierung großer Raumfahrt-Softwaresysteme | ||||||||||||||||
Standort: | Köln-Porz , Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Softwaretechnologie > Intelligente und verteilte Systeme Institut für Softwaretechnologie | ||||||||||||||||
Hinterlegt von: | Heidrich, David | ||||||||||||||||
Hinterlegt am: | 02 Nov 2023 09:48 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:59 |
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