Author

Francesco Lomio

Observed name: Lomio, Francesco

Observed institutions: Tampere University, Tampere University of Technology, University of Tampere, Constructor Institute

ORCID: 0000-0003-3033-3044

Observed ORCID: 0000-0003-3033-3044

OpenAlex ID: A5076922631

Does migrating a monolithic system to microservices decrease the technical debt?

2020 · Valentina Lenarduzzi, Francesco Lomio, et al. · Journal of Systems and Software · 124

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Are SonarQube Rules Inducing Bugs?

2020 · Valentina Lenarduzzi, Francesco Lomio, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 99

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Just-in-time software vulnerability detection: Are we there yet?

2022 · Francesco Lomio, Emanuele Iannone, et al. · Journal of Systems and Software · 71

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Software Quality for AI: Where We Are Now?

2021 · Valentina Lenarduzzi, Francesco Lomio, et al. · Lecture notes in business information processing · 41

Classification of Building Information Model (BIM) Structures with Deep Learning

2018 · Francesco Lomio, Ricardo Farinha, et al. · European Workshop on Visual Information Processing · 34

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Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach

2022 · Jalmari Tuominen, Francesco Lomio, et al. · BMC Medical Informatics and Decision Making · 33

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MLOps for evolvable AI intensive software systems

2022 · Sergio Moreschini, Francesco Lomio, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 26

A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction

2022 · Francesco Lomio, Sergio Moreschini, et al. · Empirical Software Engineering · 24

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Surface Type Classification for Autonomous Robot Indoor Navigation

2019 · Lomio, Francesco, Skenderi, Erjon, et al. · arXiv (Cornell University) · 17

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Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering

2022 · Nyyti Saarimaki, Sergio Moreschini, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 14

Predicting Failures of Autoscaling Distributed Applications

2024 · Giovanni Denaro, Noura El Moussa, et al. · Proceedings of the ACM on software engineering. · 11

On the Benefits of the Accelerate Metrics: An Industrial Survey at Vendasta

2022 · Francesco Lomio, Zadia Codabux, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 10

PANDORA: Continuous Mining Software Repository and Dataset Generation

2022 · Hung Nguyen, Francesco Lomio, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 9

RARE: a labeled dataset for cloud-native memory anomalies

2020 · Francesco Lomio, Diego Martínez Baselga, et al. · 7

Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction

2022 · Francesco Lomio, Luca Pascarella, et al. · Euromicro Conference on Software Engineering and Advanced Applications (SEAA) · 5

Metrics selection for load monitoring of service-oriented system

2021 · Francesco Lomio, Sampsa Jurvansuu, et al. · 5

Anomaly Detection in Cloud-Native Systems

2022 · Francesco Lomio, Sergio Moreschini, et al. · Euromicro Conference on Software Engineering and Advanced Applications (SEAA) · 4

On the Fault Proneness of SonarQube Technical Debt Violations: A comparison of eight Machine Learning Techniques.

2019 · Valentina Lenarduzzi, Francesco Lomio, et al. · arXiv (Cornell University) · 4

On the Benefits of the Accelerate Metrics and Their Visualization: An Industrial Survey at Vendasta

2024 · Sergio Moreschini, Francesco Lomio, et al. · SSRN Electronic Journal

Smart Edge Service Update Scheduler: An Industrial Use Case

2023 · Sergio Moreschini, Francesco Lomio, et al. · Lecture notes in computer science

On the Benefits of the Accelerate Metrics and Their Visualization: An Industrial Survey at Vendasta

2022 · Francesco Lomio, Zadia Codabux, et al. · SSRN Electronic Journal

Additional file 4 of Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach

2022 · Tuominen, Jalmari, Lomio, Francesco, et al. · Figshare

Additional file 1 of Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach

2022 · Tuominen, Jalmari, Lomio, Francesco, et al. · Figshare

Additional file 2 of Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach

2022 · Tuominen, Jalmari, Lomio, Francesco, et al. · Figshare

RARE: A Labeled Dataset for Cloud-Native Memory Anomalies

2020 · Lomio, Francesco, Martínez Baselga, Diego, et al. · Zenodo (CERN European Organization for Nuclear Research)

Works count: 31

Citation count: 544

H-index: 11

I10-index: 12