| Are SonarQube Rules Inducing Bugs? V Lenarduzzi, F Lomio, H Huttunen, D Taibi 27th IEEE International Conference on Software Analysis, Evolution and …, 2020 | 112 | 2020 |
| Does migrating a monolithic system to microservices decrease the technical debt? V Lenarduzzi, F Lomio, N Saarimäki, D Taibi Journal of Systems and Software, 110710, 2020 | 106 | 2020 |
| Just-in-time software vulnerability detection: Are we there yet? F Lomio, E Iannone, A De Lucia, F Palomba, V Lenarduzzi Journal of Systems and Software 188, 111283, 2022 | 52 | 2022 |
| Software Quality for AI: Where we are now? V Lenarduzzi, F Lomio, S Moreschini, D Taibi, DA Tamburri International Conference on Software Quality (SWQD 2021), 2021 | 46 | 2021 |
| Classification of Building Information Model (BIM) Structures with Deep Learning F Lomio, R Farinha, M Laasonen, H Huttunen 2018 7th European Workshop on Visual Information Processing (EUVIP), 1-6, 2018 | 38 | 2018 |
| MLOps for evolvable AI intensive software systems S Moreschini, F Lomio, D Hästbacka, D Taibi | 27 | 2022 |
| Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach J Tuominen, F Lomio, N Oksala, A Palomäki, J Peltonen, H Huttunen, ... BMC medical informatics and decision making 22 (1), 134, 2022 | 26 | 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 | 19* | 2021 |
| Surface Type Classification for Autonomous Robot Indoor Navigation F Lomio, E Skenderi, D Mohamadi, J Collin, R Ghabcheloo, H Huttunen arXiv preprint arXiv:1905.00252, 2019 | 16 | 2019 |
| PANDORA: Continuous Mining Software Repository and Dataset Generation H Nguyen, F Lomio, F Pecorelli, V Lenarduzzi IEEE International Conference on Software Analysis, Evolution and …, 2022 | 12 | 2022 |
| 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 | 10 | 2020 |
| Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering N Saarimäki, S Moreschini, F Lomio, R Peñaloza, V Lenarduzzi IEEE International Conference on Software Analysis, Evolution and …, 2022 | 9 | 2022 |
| Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction F Lomio, L Pascarella, F Palomba, V Lenarduzzi | 7* | 2022 |
| On The Benefits of the Accelerate Metrics: An Industrial Survey at Vendasta F Lomio, Z Codabux, D Birth, D Hopkins, D Taibi IEEE International Conference on Software Analysis, Evolution and …, 2022 | 5 | 2022 |
| Metrics selection for load monitoring of service-oriented system F Lomio, S Jurvansuu, D Taibi Proceedings of the 5th International Workshop on Machine Learning Techniques …, 2021 | 3 | 2021 |
| Anomaly Detection in Cloud-Native Systems F Lomio, S Moreschini, X Li, V Lenarduzzi | 2* | |
| Predicting Failures of Autoscaling Distributed Applications G Denaro, N El Moussa, R Heydarov, F Lomio, M Pezzè, K Qiu Proceedings of the ACM on Software Engineering 1 (FSE), 1960-1981, 2024 | 1 | 2024 |
| Machine Learning for Software Fault Detection: Issues and Possible Solutions F Lomio Tampere University, 2022 | 1 | 2022 |
| Smart Edge Service Update Scheduler: An Industrial Use Case S Moreschini, F Lomio, D Hästbacka, D Taibi International Conference on Service-Oriented Computing, 171-182, 2022 | | 2022 |
| On the Benefits of the Accelerate Metrics and Their Visualization: An Industrial Survey at Vendasta F Lomio, Z Codabux, D Birtch, D Hopkins, D Taibi Available at SSRN 4165880, 0 | | |
Valentina LenarduzziAssociate Professor (Tenure Track), University of Oulu (M3S group)確認したメール アドレス: oulu.fi