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2020 – today
- 2024
[j5]Giovanni Denaro
, Noura El Moussa, Rahim Heydarov, Francesco Lomio, Mauro Pezzè, Ketai Qiu:
Predicting Failures of Autoscaling Distributed Applications. Proc. ACM Softw. Eng. 1(FSE): 1960-1981 (2024)- 2022
- [b1]Francesco Lomio:
Machine Learning for Software Fault Detection: Issues and Possible Solutions. University of Tampere, Finland, 2022 - [j4]Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi:
A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction. Empir. Softw. Eng. 27(7): 189 (2022) - [j3]Francesco Lomio, Emanuele Iannone, Andrea De Lucia, Fabio Palomba, Valentina Lenarduzzi:
Just-in-time software vulnerability detection: Are we there yet? J. Syst. Softw. 188: 111283 (2022) - [j2]Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen, Antti Roine:
Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach. BMC Medical Informatics Decis. Mak. 22(1): 134 (2022) - [c12]Francesco Lomio, Sergio Moreschini, Xiaozhou Li, Valentina Lenarduzzi:
Anomaly Detection in Cloud-Native Systems. SEAA 2022: 100-103 - [c11]Francesco Lomio, Luca Pascarella, Fabio Palomba, Valentina Lenarduzzi:
Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction. SEAA 2022: 270-273 - [c10]Sergio Moreschini, Francesco Lomio, David Hästbacka, Davide Taibi:
Smart Edge Service Update Scheduler: An Industrial Use Case. ICSOC Workshops 2022: 171-182 - [c9]Nyyti Saarimäki, Sergio Moreschini, Francesco Lomio, Rafael Peñaloza, Valentina Lenarduzzi:
Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering. SANER 2022: 36-40 - [c8]Francesco Lomio, Zadia Codabux, Dale Birtch, Dale Hopkins, Davide Taibi:
On the Benefits of the Accelerate Metrics: An Industrial Survey at Vendasta. SANER 2022: 46-50 - [c7]Hung Nguyen, Francesco Lomio, Fabiano Pecorelli, Valentina Lenarduzzi:
PANDORA: Continuous Mining Software Repository and Dataset Generation. SANER 2022: 263-267 - [c6]Sergio Moreschini, Francesco Lomio, David Hästbacka, Davide Taibi:
MLOps for evolvable AI intensive software systems. SANER 2022: 1293-1294 - 2021
- [c5]Francesco Lomio, Sampsa Jurvansuu, Davide Taibi:
Metrics selection for load monitoring of service-oriented system. MaLTeSQuE@ESEC/SIGSOFT FSE 2021: 31-36 - [c4]Valentina Lenarduzzi, Francesco Lomio, Sergio Moreschini, Davide Taibi, Damian Andrew Tamburri:
Software Quality for AI: Where We Are Now? SWQD 2021: 43-53 - [i5]Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi:
Fault Prediction based on Software Metrics and SonarQube Rules. Machine or Deep Learning? CoRR abs/2103.11321 (2021) - 2020
- [j1]Valentina Lenarduzzi, Francesco Lomio, Nyyti Saarimäki, Davide Taibi:
Does migrating a monolithic system to microservices decrease the technical debt? J. Syst. Softw. 169: 110710 (2020) - [c3]Francesco Lomio, Diego Martínez Baselga, Sergio Moreschini, Heikki Huttunen, Davide Taibi:
RARE: a labeled dataset for cloud-native memory anomalies. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 19-24 - [c2]Valentina Lenarduzzi, Francesco Lomio, Heikki Huttunen, Davide Taibi:
Are SonarQube Rules Inducing Bugs? SANER 2020: 501-511
2010 – 2019
- 2019
- [i4]Nyyti Saarimäki, Francesco Lomio, Valentina Lenarduzzi, Davide Taibi:
Does Migrate a Monolithic System to Microservices Decreases the Technical Debt? CoRR abs/1902.06282 (2019) - [i3]Francesco Lomio, Erjon Skenderi, Damoon Mohamadi, Jussi Collin, Reza Ghabcheloo, Heikki Huttunen:
Surface Type Classification for Autonomous Robot Indoor Navigation. CoRR abs/1905.00252 (2019) - [i2]Valentina Lenarduzzi, Francesco Lomio, Davide Taibi, Heikki Huttunen:
On the Fault Proneness of SonarQube Technical Debt Violations: A comparison of eight Machine Learning Techniques. CoRR abs/1907.00376 (2019) - 2018
- [c1]Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen:
Classification of Building Information Model (BIM) Structures with Deep Learning. EUVIP 2018: 1-6 - [i1]Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen:
Classification of Building Information Model (BIM) Structures with Deep Learning. CoRR abs/1808.00601 (2018)
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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