Antonio Guerriero

Antonio Guerriero

Ph.D.

University of Naples Federico II

Biography

Ph.D. in Information Technologies and Electrical Engineering (ITEE) and member of Dependable and Secure Software Engineering and Real-Time Systems (DESSERT) group at the University of Naples Federico II. His research interests include software testing, software reliability, and testing of autonomous systems.

Interests
  • Artificial Intelligence
  • Software Reliability
  • Software Testing
Education
  • PhD in Information Technology and Electrical Engineering, 2022

    University of Naples Federico II

  • Master Degree in Computer Engineering, 2018

    University of Naples Federico II

  • Bachelor's degree in Computer Engineering, 2014

    University of Naples Federico II

Publications

(2024). Anomaly Detection and Root Cause Analysis of Microservices Energy Consumption. In IEEE International Conference on Web Services (ICWS 2024).

(2024). DeepSample: DNN sampling-based testing for operational accuracy assessment. In IEEE/ACM 46th International Conference on Software Engineering (ICSE 2024).

(2024). Identifying Performance Issues in Microservice Architectures through Causal Reasoning. In 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024).

(2024). Federated learning for IoT devices: Enhancing TinyML with on-board training. In Information Fusion.

(2024). Causality-driven Testing of Autonomous Driving Systems. In ACM Transactions on Software Engineering and Methodology.

(2024). Automated functional and robustness testing of microservice architectures. In Journal of Systems and Software.

(2023). An empirical evaluation of the energy and performance overhead of monitoring tools on docker-based systems. In International Conference on Service-Oriented Computing (ICSOC 2023).

(2023). Monitoring tools for DevOps and microservices: A systematic grey literature review. In Journal of Systems and Software.

(2023). Iterative Assessment and Improvement of DNN Operational Accuracy. In International Conference on Software Engineering - New Ideas and Emerging Results (ICSE-NIER 2023).

(2023). Assessing operational accuracy of CNN-based image classifiers using an oracle surrogate. In Intelligent Systems with Applications.

(2022). Automated Grey-Box Testing of Microservice Architectures. In * IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS 2022)*.

(2022). Assessing Black-box Test Case Generation Techniques for Microservices. In International Conference on the Quality of Information and Communications Technology (QUATIC 2022).

(2022). Microservices integrated performance and reliability testing. In International Conference on Automation of Software Test (AST 2022).

PDF

(2021). Operation is the hardest teacher: estimating DNN accuracy looking for mispredictions. In International Conference on Software Engineering (ICSE 2021).

(2020). DevOpRET: Continuous reliability testing in DevOps. Journal of Software: Evolution and Process.

(2020). Learning-to-rank vs ranking-to-learn: Strategies for regression testing in continuous integration. In International Conference on Software Engineering (ICSE 2020).

(2020). Reliability Evaluation of ML systems, the oracle problem. In International Symposium on Software Reliability Engineering Workshops (ISSREW 2020).

(2020). Testing microservice architectures for operational reliability. Software Testing, Verification and Reliability.

(2019). A hybrid framework for web services reliability and performance assessment. In International Symposium on Software Reliability Engineering Workshops (ISSREW 2019).

(2018). Testing microservice architectures for operational reliability. In International Symposium on Software Reliability Engineering (ISSRE 2018).

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