Items where authors include "Bianculli, D."

Article

Khan, Z.A. orcid.org/0000-0002-3935-2148, Shin, D. orcid.org/0000-0002-0840-6449, Bianculli, D. orcid.org/0000-0002-4854-685X et al. (1 more author) (2024) Impact of log parsing on deep learning-based anomaly detection. Empirical Software Engineering, 29 (6). 139. ISSN 1382-3256

Hadadi, F. orcid.org/0009-0001-8755-3323, Dawes, J.H., Shin, D. orcid.org/0000-0002-0840-6449 et al. (2 more authors) (2024) Systematic evaluation of deep learning models for log-based failure prediction. Empirical Software Engineering, 29. 105. ISSN 1382-3256

Clun, D., Shin, D. orcid.org/0000-0002-0840-6449, Filieri, A. et al. (1 more author) (2024) Rigorous assessment of model inference accuracy using language cardinality. ACM Transactions on Software Engineering and Methodology, 33 (4). 95. pp. 1-39. ISSN 1049-331X

Shin, D. orcid.org/0000-0002-0840-6449, Bianculli, D. and Briand, L. (2022) PRINS : scalable model inference for component-based system logs. Empirical Software Engineering, 27 (4). 87. ISSN 1382-3256

Proceedings Paper

Ceci, M. orcid.org/0000-0003-3800-0906, Sannier, N. orcid.org/0000-0002-4449-5792, Abualhaija, S. orcid.org/0000-0001-6095-447X et al. (3 more authors) (2024) Toward automated compliance checking of fund activities using runtime verification techniques. In: FinanSE '24: Proceedings of the 1st IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms. FinanSE '24: 1st IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 16 Apr 2024, Lisbon, Portugal. Association for Computing Machinery , New York, United States , pp. 19-20. ISBN 9798400705687

Dawes, J.H. orcid.org/0000-0002-2289-1620, Shin, D. orcid.org/0000-0002-0840-6449 and Bianculli, D. orcid.org/0000-0002-4854-685X (2023) Towards log slicing. In: Lambers, L. and Uchitel, S., (eds.) Fundamental Approaches to Software Engineering: 26th International Conference, FASE 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22–27, 2023, Proceedings. 26th International Conference, FASE 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, 22-27 Apr 2023, Paris, France. Lecture Notes in Computer Science, 13991 . Springer Cham , pp. 249-259. ISBN 9783031308253

Khan, Z.A., Shin, D. orcid.org/0000-0002-0840-6449, Bianculli, D. et al. (1 more author) (2022) Guidelines for assessing the accuracy of log message template identification techniques. In: ICSE '22: Proceedings of the 44th International Conference on Software Engineering. 44th International Conference on Software Engineering (ICSE '22), 21-29 May 2022, Pittsburgh, Pennsylvania, USA. Association for Computing Machinery , pp. 1095-1106. ISBN 9781450392211