João R. Campos

Henrique Madeira

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2023

Online Failure Prediction for Complex Systems: Methodology and Case Studies.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

A Machine Learning driven Fault Tolerance Mechanism for UAVs' Flight Controller.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE Pacific Rim International Symposium on Dependable Computing, 2023

Advanced Machine Learning for Runtime Data Generation.

[BibT_eX]

[DOI]

Bukhtawar Zamir

Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction.

[BibT_eX]

[DOI]

Rodrigo Machado

Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

Understanding the Forest: A Visualization Tool to Support Decision Tree Analysis.

[BibT_eX]

[DOI]

Catarina Maçãs

Nuno Lourenço

Proceedings of the 27th International Conference Information Visualisation, 2023

Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

2022

On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems.

[BibT_eX]

[DOI]

Proceedings of the 18th European Dependable Computing Conference, 2022

A Dataset of Linux Failure Data for Dependability Evaluation and Improvement.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study.

[BibT_eX]

[DOI]

José D'Abruzzo Pereira

Proceedings of the 17th European Dependable Computing Conference, 2021

2020

On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study.

[BibT_eX]

[DOI]

Proceedings of the Computer Safety, Reliability, and Security, 2020

Fault Injection to Generate Failure Data for Failure Prediction: A Case Study.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

2019

Improving Failure Prediction by Ensembling the Decisions of Machine Learning Models: A Case Study.

[BibT_eX]

[DOI]

IEEE Access, 2019

An Exploratory Study on Machine Learning to Combine Security Vulnerability Alerts from Static Analysis Tools.

[BibT_eX]

[DOI]

José D'Abruzzo Pereira

Proceedings of the 9th Latin-American Symposium on Dependable Computing, 2019

Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

2018

Propheticus: Generalizable Machine Learning Framework.

[BibT_eX]

[DOI]

CoRR, 2018

Exploratory Study of Machine Learning Techniques for Supporting Failure Prediction.

[BibT_eX]

[DOI]