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Gruner, Bernd and Sonnekalb, Tim and Heinze, Thomas S. and Brust, Clemens-Alexander (2023) Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. In: Proceedings - 2023 IEEE/ACM 20th International Conference on Mining Software Repositories, MSR 2023, pp. 158-169. IEEE Computer Society. 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), Melbourne, Australia. doi: 10.1109/MSR59073.2023.00034. ISBN 979-835031184-6. ISSN 2160-1852.
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Official URL: https://www.computer.org/csdl/proceedings-article/msr/2023/118400a158/1OIL21ReQms
| Item URL in elib: | https://elib.dlr.de/196196/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
| Title: | Cross-Domain Evaluation of a Deep Learning-Based Type Inference System | ||||||||||||||||||||
| Authors: |
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| Date: | 2023 | ||||||||||||||||||||
| Journal or Publication Title: | Proceedings - 2023 IEEE/ACM 20th International Conference on Mining Software Repositories, MSR 2023 | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||
| DOI: | 10.1109/MSR59073.2023.00034 | ||||||||||||||||||||
| Page Range: | pp. 158-169 | ||||||||||||||||||||
| Publisher: | IEEE Computer Society | ||||||||||||||||||||
| Series Name: | 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) | ||||||||||||||||||||
| ISSN: | 2160-1852 | ||||||||||||||||||||
| ISBN: | 979-835031184-6 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | type inference, dataset, cross-domain, python, long-tailed, out-of-vocabulary, repository mining, deep learning | ||||||||||||||||||||
| Event Title: | 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) | ||||||||||||||||||||
| Event Location: | Melbourne, Australia | ||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||
| 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 - Intelligent analysis and methods for safe software development | ||||||||||||||||||||
| Location: | Jena | ||||||||||||||||||||
| Institutes and Institutions: | Institute of Data Science Institute of Data Science > Data Acquisition and Mobilisation | ||||||||||||||||||||
| Deposited By: | Gruner, Bernd | ||||||||||||||||||||
| Deposited On: | 31 Jul 2023 14:37 | ||||||||||||||||||||
| Last Modified: | 05 Sep 2023 09:05 |
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