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Schreiber, Andreas und Kurnatowski, Lynn von und de Boer, Claas (2021) Analyzing Software Engineering Processes with Provenance-based Knowledge Graphs. In: 2021 IEEE Aerospace Conference, AERO 2021. IEEE. 2021 IEEE Aerospace Conference, 6.-13. Mär. 2021, Big Sky, MT, USA. doi: 10.1109/AERO50100.2021.9438358. ISBN 978-172817436-5. ISSN 1095-323X.
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Offizielle URL: https://ieeexplore.ieee.org/document/9438358
Kurzfassung
Insights and assessments about the quality, reliability, or trustworthiness of software systems is important for many software applications. Especially for large or mission-critical software systems, reliable measures and assertions are crucial. Since software repositories contain information about source code, software development processes, and team interactions, we extract the provenance of software artifacts from those repositories and store the provenance according to a provenance model defined using W3C PROV data model. We use the recorded provenance to discover insights about the software and its development process, which we apply and evaluate for a large aerospace software system.
| elib-URL des Eintrags: | https://elib.dlr.de/142703/ | ||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
| Titel: | Analyzing Software Engineering Processes with Provenance-based Knowledge Graphs | ||||||||||||||||
| Autoren: |
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| Datum: | 7 Juni 2021 | ||||||||||||||||
| Erschienen in: | 2021 IEEE Aerospace Conference, AERO 2021 | ||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||
| Open Access: | Nein | ||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||
| DOI: | 10.1109/AERO50100.2021.9438358 | ||||||||||||||||
| Verlag: | IEEE | ||||||||||||||||
| ISSN: | 1095-323X | ||||||||||||||||
| ISBN: | 978-172817436-5 | ||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||
| Stichwörter: | provenance, software analytics, knowledge graphs | ||||||||||||||||
| Veranstaltungstitel: | 2021 IEEE Aerospace Conference | ||||||||||||||||
| Veranstaltungsort: | Big Sky, MT, USA | ||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
| Veranstaltungsdatum: | 6.-13. Mär. 2021 | ||||||||||||||||
| Veranstalter : | IEEE | ||||||||||||||||
| 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 - Verfahren zur verbesserten Detektion, Ortung und Verfolgung von Orbitalen Objekten, R - Projekt Simulation based Certification [SY] | ||||||||||||||||
| Standort: | Dresden , Köln-Porz , Oberpfaffenhofen | ||||||||||||||||
| Institute & Einrichtungen: | Institut für Softwaretechnologie > Intelligente und verteilte Systeme Institut für Softwaretechnologie | ||||||||||||||||
| Hinterlegt von: | Schreiber, Andreas | ||||||||||||||||
| Hinterlegt am: | 21 Jun 2021 08:38 | ||||||||||||||||
| Letzte Änderung: | 16 Nov 2023 14:31 |
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