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Schreiber, Andreas and Kurnatowski, Lynn von and 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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Official URL: https://ieeexplore.ieee.org/document/9438358
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/142703/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | Analyzing Software Engineering Processes with Provenance-based Knowledge Graphs | ||||||||||||
| Authors: |
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| Date: | 7 June 2021 | ||||||||||||
| Journal or Publication Title: | 2021 IEEE Aerospace Conference, AERO 2021 | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | Yes | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| DOI: | 10.1109/AERO50100.2021.9438358 | ||||||||||||
| Publisher: | IEEE | ||||||||||||
| ISSN: | 1095-323X | ||||||||||||
| ISBN: | 978-172817436-5 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | provenance, software analytics, knowledge graphs | ||||||||||||
| Event Title: | 2021 IEEE Aerospace Conference | ||||||||||||
| Event Location: | Big Sky, MT, USA | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Dates: | 6.-13. Mär. 2021 | ||||||||||||
| Organizer: | IEEE | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Space | ||||||||||||
| HGF - Program Themes: | Space System Technology | ||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||||||
| DLR - Research theme (Project): | R - Methods for improved detection, location and tracking of orbital objects, R - Project Simulation based Certification [SY] | ||||||||||||
| Location: | Dresden , Köln-Porz , Oberpfaffenhofen | ||||||||||||
| Institutes and Institutions: | Institute for Software Technology > Intelligent and Distributed Systems Institute for Software Technology | ||||||||||||
| Deposited By: | Schreiber, Andreas | ||||||||||||
| Deposited On: | 21 Jun 2021 08:38 | ||||||||||||
| Last Modified: | 13 Dec 2021 12:51 |
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