Francesco Lomio

23 papers A 5B 2Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Predicting Failures of Autoscaling Distributed Applications. Proc. ACM Softw. Eng. Giovanni Denaro, Noura El Moussa, Rahim Heydarov, Francesco Lomio, Mauro Pezzè, Ketai Qiu
2022	J	`jnl`	A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction. Empir. Softw. Eng. Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi
2022	B	`conf`	Anomaly Detection in Cloud-Native Systems. SEAA Francesco Lomio, Sergio Moreschini, Xiaozhou Li, Valentina Lenarduzzi
2022	J	`jnl`	Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach. BMC Medical Informatics Decis. Mak. Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen, Antti Roine
2022	J	`jnl`	Just-in-time software vulnerability detection: Are we there yet? J. Syst. Softw. Francesco Lomio, Emanuele Iannone, Andrea De Lucia, Fabio Palomba, Valentina Lenarduzzi
2022	A	`conf`	MLOps for evolvable AI intensive software systems. SANER Sergio Moreschini, Francesco Lomio, David Hästbacka, Davide Taibi
2022	—	`—`	Machine Learning for Software Fault Detection: Issues and Possible Solutions. Francesco Lomio
2022	A	`conf`	On the Benefits of the Accelerate Metrics: An Industrial Survey at Vendasta. SANER Francesco Lomio, Zadia Codabux, Dale Birtch, Dale Hopkins, Davide Taibi
2022	A	`conf`	PANDORA: Continuous Mining Software Repository and Dataset Generation. SANER Hung Nguyen, Francesco Lomio, Fabiano Pecorelli, Valentina Lenarduzzi
2022	B	`conf`	Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction. SEAA Francesco Lomio, Luca Pascarella, Fabio Palomba, Valentina Lenarduzzi
2022	—	`conf`	Smart Edge Service Update Scheduler: An Industrial Use Case. ICSOC Workshops Sergio Moreschini, Francesco Lomio, David Hästbacka, Davide Taibi
2022	A	`conf`	Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering. SANER Nyyti Saarimäki, Sergio Moreschini, Francesco Lomio, Rafael Peñaloza, Valentina Lenarduzzi
2021	J	`jnl`	Fault Prediction based on Software Metrics and SonarQube Rules. Machine or Deep Learning? CoRR Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi
2021	—	`conf`	Metrics selection for load monitoring of service-oriented system. MaLTeSQuE@ESEC/SIGSOFT FSE Francesco Lomio, Sampsa Jurvansuu, Davide Taibi
2021	—	`conf`	Software Quality for AI: Where We Are Now? SWQD Valentina Lenarduzzi, Francesco Lomio, Sergio Moreschini, Davide Taibi, Damian Andrew Tamburri
2020	A	`conf`	Are SonarQube Rules Inducing Bugs? SANER Valentina Lenarduzzi, Francesco Lomio, Heikki Huttunen, Davide Taibi
2020	J	`jnl`	Does migrating a monolithic system to microservices decrease the technical debt? J. Syst. Softw. Valentina Lenarduzzi, Francesco Lomio, Nyyti Saarimäki, Davide Taibi
2020	—	`conf`	RARE: a labeled dataset for cloud-native memory anomalies. MaLTeSQuE@ESEC/SIGSOFT FSE Francesco Lomio, Diego Martinez-Baselga, Sergio Moreschini, Heikki Huttunen, Davide Taibi
2019	J	`jnl`	Does Migrate a Monolithic System to Microservices Decreases the Technical Debt? CoRR Nyyti Saarimäki, Francesco Lomio, Valentina Lenarduzzi, Davide Taibi
2019	J	`jnl`	On the Fault Proneness of SonarQube Technical Debt Violations: A comparison of eight Machine Learning Techniques. CoRR Valentina Lenarduzzi, Francesco Lomio, Davide Taibi, Heikki Huttunen
2019	J	`jnl`	Surface Type Classification for Autonomous Robot Indoor Navigation. CoRR Francesco Lomio, Erjon Skenderi, Damoon Mohamadi, Jussi Collin, Reza Ghabcheloo, Heikki Huttunen
2018	—	`conf`	Classification of Building Information Model (BIM) Structures with Deep Learning. EUVIP Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen
2018	J	`jnl`	Classification of Building Information Model (BIM) Structures with Deep Learning. CoRR Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen