Publications in Conference proceedings/Workshops

  • L. de-Marcos, J.M. Gutiérrez-Martínez, A. Domínguez-Díaz, S. Caro-Álvaro, D. Rodríguez. Evaluating the UX of a Microservice Web App: CyberRanges in the μDevOps Project. Proceedings of the 33rd Central European Conference on Information and Intelligent Systems. September 21-23, 2022. Dubrovnik, Croatia. pp. 471-478.
  • R. M. Hampau, M. Kaptein, R. van Emden, T. Rost, and I. Malavolta. 2022. An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks on the Edge. In The International Conference on Evaluation and Assessment in Software Engineering 2022 (EASE 2022), June 13–15, 2022, Gothenburg, Sweden. ACM, New York, NY, USA 10 Pages. doi
  • M. Camilli, A. Guerriero, A. Janes, B. Russo, S. Russo, Microservices Integrated Performance and Reliability Testing2022 IEEE/ACM International Conference on Automation of Software Test (AST), 2022, pp. 29-39, doi
  • L. Giamattei, A. Guerriero, R. Pietrantuono, S. Russo, Assessing Black-box Test Case Generation Techniques for Microservices. In: Vallecillo, A., Visser, J., Pérez-Castillo, R. (eds) Quality of Information and Communications Technology. QUATIC 2022. Communications in Computer and Information Science, vol 1621. Springer, Cham, doi
  • L. Giamattei, A. Guerriero, R. Pietrantuono, S. Russo, Automated Grey-box Testing of Microservice Architectures, 22nd IEEE International Conference on Software Quality, Reliability, and Security, December 5-9, 2022, Guangzhou, China

Articles in Journal

  • R. Pietrantuono, P. Popov, S. Russo, Reliability assessment of service-based software under operational profile uncertainty, Reliability Engineering & System Safety, Volume 204, 2020, 107193, ISSN 0951-8320, doi
  • M. Cinque, R. Della Corte, A. Pecchia, Micro2vec: Anomaly detection in microservices systems by mining numeric representations of computer logs, Journal of Network and Computer Applications, Volume 208, 2022, 103515, ISSN 1084-8045, doi

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 871342