| Software quality for AI: Where we are now? V Lenarduzzi, F Lomio, S Moreschini, D Taibi, DA Tamburri Software Quality: Future Perspectives on Software Engineering Quality: 13th …, 2021 | 30 | 2021 |
| Exploring factors and metrics to select open source software components for integration: An empirical study X Li, S Moreschini, Z Zhang, D Taibi Journal of Systems and Software 188, 111255, 2022 | 15* | 2022 |
| MLOps for evolvable AI intensive software systems S Moreschini, F Lomio, D Hästbacka, D Taibi 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 10 | 2022 |
| Uncoordinated multi-user video streaming in VANETs using Skype E Belyaev, S Moreschini, A Vinel 2017 IEEE 22nd International Workshop on Computer Aided Modeling and Design …, 2017 | 8 | 2017 |
| Rare: a labeled dataset for cloud-native memory anomalies F Lomio, DM Baselga, S Moreschini, H Huttunen, D Taibi Proceedings of the 4th ACM SIGSOFT International Workshop on Machine …, 2020 | 7 | 2020 |
| OSSARA: abandonment risk assessment for embedded open source components X Li, S Moreschini, F Pecorelli, D Taibi IEEE Software 39 (04), 48-53, 2022 | 6 | 2022 |
| Shearlet-based light field reconstruction of scenes with non-lambertian properties S Moreschini, R Bregovic, A Gotchev 2019 8th European Workshop on Visual Information Processing (EUVIP), 140-145, 2019 | 5 | 2019 |
| CIVIT dataset: Horizontal-parallax-only densely-sampled light-fields S Moreschini, F Gama, R Bregovic, A Gotchev European Light Field Imaging Workshop 6, 2019 | 5 | 2019 |
| Cloud Continuum: the definition S Moreschini, F Pecorelli, X Li, S Naz, D Hästbacka, D Taibi IEEE Access 10, 131876-131886, 2022 | 4 | 2022 |
| A Multivocal Literature Review of MLOps Tools and Features G Recupito, F Pecorelli, G Catolino, S Moreschini, D Di Nucci, F Palomba, ... | 4 | 2022 |
| Oss pesto: An open source software project evaluation and selection tool X Li, S Moreschini Open Source Systems: 17th IFIP WG 2.13 International Conference, OSS 2021 …, 2021 | 4 | 2021 |
| Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering N Saarimaki, S Moreschini, F Lomio, R Peñaloza, V Lenarduzzi IEEE International Conference on Software Analysis, Evolution and …, 2022 | 3 | 2022 |
| Cognitive Cloud: The Definition S Moreschini, F Pecorelli, X Li, S Naz, M Albano, D Hästbacka, D Taibi | 2 | 2022 |
| Fault Prediction based on Software Metrics and SonarQube Rules. Machine or Deep Learning? F Lomio, S Moreschini, V Lenarduzzi arXiv preprint arXiv:2103.11321, 2021 | 2 | 2021 |
| A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction F Lomio, S Moreschini, V Lenarduzzi Empirical Software Engineering 27 (7), 189, 2022 | 1 | 2022 |
| Volumetric segmentation for integral microscopy with Fourier plane recording S Moreschini, R Bregovic, A Gotchev Electronic Imaging 34, 1-6, 2022 | 1 | 2022 |
| Continuous refocusing for integral microscopy with fourier plane recording S Moreschini, G Scrofani, R Brcgovic, G Saavedra, A Gotchev 2018 26th European Signal Processing Conference (EUSIPCO), 216-220, 2018 | 1 | 2018 |
| Channel Resource Allocation For Multi-Camera Video Streaming In Vehicular Ad-Hoc Networks S Moreschini | 1 | 2016 |
| The anatomy of a vulnerability database: A systematic mapping study X Li, S Moreschini, Z Zhang, F Palomba, D Taibi Journal of Systems and Software 201, 111679, 2023 | | 2023 |
| Edge to Cloud Tools: A Multivocal Literature Review S Moreschini, E Younesian, D Hästbacka, M Albano, J Hošek, D Taibi arXiv preprint arXiv:2305.17464, 2023 | | 2023 |
Davide TaibiFull Professor, University of Oulu (M3S Cloud), Tampere University.Verified email at oulu.fi
