Francesco Lomio

According to our database, Francesco Lomio authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Predicting Failures of Autoscaling Distributed Applications.

Giovanni Denaro, Noura El Moussa, Rahim Heydarov, Francesco Lomio, Mauro Pezzè, Ketai Qiu

Proc. ACM Softw. Eng., 2024

2022

Machine Learning for Software Fault Detection: Issues and Possible Solutions.

Francesco Lomio

PhD thesis, 2022

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

Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen, Antti Roine

BMC Medical Informatics Decis. Mak., 2022

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

Francesco Lomio, Emanuele Iannone, Andrea De Lucia, Fabio Palomba, Valentina Lenarduzzi

J. Syst. Softw., 2022

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

Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi

Empir. Softw. Eng., 2022

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

Nyyti Saarimäki, Sergio Moreschini, Francesco Lomio, Rafael Peñaloza, Valentina Lenarduzzi

Proceedings of the IEEE International Conference on Software Analysis, 2022

PANDORA: Continuous Mining Software Repository and Dataset Generation.

Hung Nguyen, Francesco Lomio, Fabiano Pecorelli, Valentina Lenarduzzi

Proceedings of the IEEE International Conference on Software Analysis, 2022

MLOps for evolvable AI intensive software systems.

Sergio Moreschini, Francesco Lomio, David Hästbacka, Davide Taibi

Proceedings of the IEEE International Conference on Software Analysis, 2022

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

Francesco Lomio, Zadia Codabux, Dale Birtch, Dale Hopkins, Davide Taibi

Proceedings of the IEEE International Conference on Software Analysis, 2022

Smart Edge Service Update Scheduler: An Industrial Use Case.

Sergio Moreschini, Francesco Lomio, David Hästbacka, Davide Taibi

Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

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

Francesco Lomio, Luca Pascarella, Fabio Palomba, Valentina Lenarduzzi

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Anomaly Detection in Cloud-Native Systems.

Francesco Lomio, Sergio Moreschini, Xiaozhou Li, Valentina Lenarduzzi

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021

Fault Prediction based on Software Metrics and SonarQube Rules. Machine or Deep Learning?

Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi

CoRR, 2021

Software Quality for AI: Where We Are Now?

Valentina Lenarduzzi, Francesco Lomio, Sergio Moreschini, Davide Taibi, Damian Andrew Tamburri

Proceedings of the Software Quality: Future Perspectives on Software Engineering Quality, 2021

Metrics selection for load monitoring of service-oriented system.

Francesco Lomio, Sampsa Jurvansuu, Davide Taibi

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 2021

2020

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

Valentina Lenarduzzi, Francesco Lomio, Nyyti Saarimäki, Davide Taibi

J. Syst. Softw., 2020

Are SonarQube Rules Inducing Bugs?

Valentina Lenarduzzi, Francesco Lomio, Heikki Huttunen, Davide Taibi

Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

RARE: a labeled dataset for cloud-native memory anomalies.

Francesco Lomio, Diego Martínez Baselga, Sergio Moreschini, Heikki Huttunen, Davide Taibi

Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2020

2019

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

Valentina Lenarduzzi, Francesco Lomio, Davide Taibi, Heikki Huttunen

CoRR, 2019

Surface Type Classification for Autonomous Robot Indoor Navigation.

Francesco Lomio, Erjon Skenderi, Damoon Mohamadi, Jussi Collin, Reza Ghabcheloo, Heikki Huttunen

CoRR, 2019

Does Migrate a Monolithic System to Microservices Decreases the Technical Debt?

Nyyti Saarimäki, Francesco Lomio, Valentina Lenarduzzi, Davide Taibi

CoRR, 2019

2018

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

Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen

Proceedings of the 7th European Workshop on Visual Information Processing, 2018