| 2026 | ICST | Leveraging Large Language Models for Trustworthiness Assessment of Web Applications. | Oleksandr Yarotskyi, Jos D'Abruzzo Pereira, Joo R. Campos |
| 2025 | DATA | Selecting a Data Warehouse Provider: A Daunting Task. | Joo Ferreira, Nuno Loureno, Joo R. Campos |
| 2025 | ISSRE | Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset. | Elena Masserini, Diego Clerissi, Daniela Micucci, Joo R. Campos, Leonardo Mariani |
| 2025 | ISSRE | Beyond Functional Correctness: An Empirical Evaluation of Large Language Models for Text-to-Code Generation. | Rodrigo Pato Nogueira, Marco Vieira, Joo R. Campos |
| 2024 | ISSRE | Towards Improved Perception System's Generalization Through Generative Artificial Intelligence. | Jiawei Wang, Joo R. Campos, Henrique Madeira |
| 2023 | ISSRE | Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study. | Joo R. Campos, Ernesto Costa, Marco Vieira |
| 2023 | IV | Understanding the Forest: A Visualization Tool to Support Decision Tree Analysis. | Catarina Mas, Joo R. Campos, Nuno Loureno |
| 2023 | PRDC | A Machine Learning driven Fault Tolerance Mechanism for UAVs' Flight Controller. | Anamta Khan, Joo R. Campos, Naghmeh Ivaki, Henrique Madeira |
| 2022 | DSN | A Dataset of Linux Failure Data for Dependability Evaluation and Improvement. | Joo R. Campos, Ernesto Costa, Marco Vieira |
| 2022 | EDCC | On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems. | Joo R. Campos, Ernesto Costa, Marco Vieira |
| 2021 | EDCC | Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study. | Jos D'Abruzzo Pereira, Joo R. Campos, Marco Vieira |
| 2020 | ISSRE | Fault Injection to Generate Failure Data for Failure Prediction: A Case Study. | Joo R. Campos, Ernesto Costa |
| 2020 | SAFECOMP | On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study. | Joo R. Campos, Ernesto Costa, Marco Vieira |
| 2019 | ISSRE | Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software. | Joo R. Campos, Marco Vieira, Ernesto Costa |
| 2018 | EDCC | Exploratory Study of Machine Learning Techniques for Supporting Failure Prediction. | Joo R. Campos, Marco Vieira, Ernesto Costa |