Uncoordinated multi-user video streaming in VANETs using Skype. - Evgeny Belyaev; Sergio Moreschini; Alexey V. Vinel (CAMAD, 2017)

Continuous Refocusing for Integral Microscopy with Fourier Plane Recording. - Sergio Moreschini; Gabriele Scrofani; Robert Bregovic; Genaro Saavedra; Atanas P. Gotchev (EUSIPCO, 2018)

Shearlet-Based Light Field Reconstruction of Scenes with Non-Lambertian Properties. - Sergio Moreschini; Robert Bregovic; Atanas P. Gotchev (EUVIP, 2019)

RARE: a labeled dataset for cloud-native memory anomalies. - Francesco Lomio; Diego Martinez-Baselga; Sergio Moreschini; Heikki Huttunen; Davide Taibi 001 (MaLTeSQuE@ESEC/SIGSOFT FSE, 2020)

OSS PESTO: An Open Source Software Project Evaluation and Selection TOol. - Xiaozhou Li 002; Sergio Moreschini (OSS, 2021)

Software Quality for AI: Where We Are Now? - Valentina Lenarduzzi; Francesco Lomio; Sergio Moreschini; Davide Taibi 001; Damian Andrew Tamburri (SWQD, 2021)

Exploring Factors and Measures to Select Open Source Software. - Xiaozhou Li 002; Sergio Moreschini; Zheying Zhang; Davide Taibi 001 (CoRR, 2021)

Fault Prediction based on Software Metrics and SonarQube Rules. Machine or Deep Learning? - Francesco Lomio; Sergio Moreschini; Valentina Lenarduzzi (CoRR, 2021)

Cognitive Cloud: The Definition. - Sergio Moreschini; Fabiano Pecorelli; Xiaozhou Li 002; Sonia Naz; Michele Albano; David Hästbacka; Davide Taibi 001 (DCAI (1), 2022)

Anomaly Detection in Cloud-Native Systems. - Francesco Lomio; Sergio Moreschini; Xiaozhou Li 002; Valentina Lenarduzzi (SEAA, 2022)

A Multivocal Literature Review of MLOps Tools and Features. - Gilberto Recupito; Fabiano Pecorelli; Gemma Catolino; Sergio Moreschini; Dario Di Nucci; Fabio Palomba; Damian A. Tamburri (SEAA, 2022)

Smart Edge Service Update Scheduler: An Industrial Use Case. - Sergio Moreschini; Francesco Lomio; David Hästbacka; Davide Taibi 001 (ICSOC Workshops, 2022)

Volumetric segmentation for integral microscopy with Fourier plane recording. - Sergio Moreschini; Robert Bregovic; Atanas P. Gotchev (Image Processing: Algorithms and Systems, 2022)

Applications of MLOps in the Cognitive Cloud Continuum. - Sergio Moreschini (PROFES, 2022)

Knowledge Management Challenges for AI Quality. - Xiaozhou Li 002; Sergio Moreschini; Aleksandra Filatova; Davide Taibi 001 (SANER, 2022)

MLOps for evolvable AI intensive software systems. - Sergio Moreschini; Francesco Lomio; David Hästbacka; Davide Taibi 001 (SANER, 2022)

Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering. - Nyyti Saarimäki; Sergio Moreschini; Francesco Lomio; Rafael Peñaloza; Valentina Lenarduzzi (SANER, 2022)

Cloud Continuum: The Definition. - Sergio Moreschini; Fabiano Pecorelli; Xiaozhou Li 002; Sonia Naz; David Hästbacka; Davide Taibi 001 (IEEE Access, 2022)

A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction. - Francesco Lomio; Sergio Moreschini; Valentina Lenarduzzi (Empir. Softw. Eng., 2022)

Exploring factors and metrics to select open source software components for integration: An empirical study. - Xiaozhou Li 002; Sergio Moreschini; Zheying Zhang; Davide Taibi 001 (J. Syst. Softw., 2022)

OSSARA: Abandonment Risk Assessment for Embedded Open Source Components. - Xiaozhou Li 002; Sergio Moreschini; Fabiano Pecorelli; Davide Taibi 001 (IEEE Softw., 2022)

Fault Tolerant Horizontal Computation Offloading. - Alexander Droob; Daniel Morratz; Frederik Langkilde Jakobsen; Jacob Carstensen; Magnus Mathiesen; Rune Bohnstedt; Michele Albano; Sergio Moreschini; Davide Taibi 001 (EDGE, 2023)

Edge Computing Tasks Orchestration: An Energy-Aware Approach. - Johan Løhde Thomsen; Kristian Dragsbæk Schmidt Thomsen; Rasmus Borrisholt Schmidt; Søren D. Jakobsgaard; Thor Beregaard; Michele Albano; Sergio Moreschini; Davide Taibi 001 (EDGE, 2023)

MLOps Pipeline Development: The OSSARA Use Case. - Sergio Moreschini; David Hästbacka; Davide Taibi 001 (RACS, 2023)

FlexConnect: Mobile Computational Offloading. - Alexander Droob; Daniel Morratz; Frederik Langkilde Jakobsen; Jacob Carstensen; Magnus Mathiesen; Rune Bohnstedt; Michele Albano; Sergio Moreschini; Davide Taibi 001 (eSAAM, 2023)

Can We Trust the Default Vulnerabilities Severity? - Matteo Esposito 001; Sergio Moreschini; Valentina Lenarduzzi; David Hästbacka; Davide Falessi (SCAM, 2023)

Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review. - Sergio Moreschini; Gilberto Recupito; Valentina Lenarduzzi; Fabio Palomba; David Hästbacka; Davide Taibi 001 (CoRR, 2023)

AI Techniques in the Microservices Life-Cycle: A Survey. - Sergio Moreschini; Shahrzad Pour; Ivan Lanese; Daniel Balouek-Thomert; Justus Bogner; Xiaozhou Li 002; Fabiano Pecorelli; Jacopo Soldani; Eddy Truyen; Davide Taibi 001 (CoRR, 2023)

Workrs: Fault Tolerant Horizontal Computation Offloading. - Alexander Droob; Daniel Morratz; Frederik Langkilde Jakobsen; Jacob Carstensen; Magnus Mathiesen; Rune Bohnstedt; Michele Albano; Sergio Moreschini; Davide Taibi 001 (CoRR, 2023)

Towards a Technical Debt for Recommender System. - Sergio Moreschini; Ludovik Coba; Valentina Lenarduzzi (CoRR, 2023)

Applications of MLOps in the Cognitive Cloud Continuum. - Sergio Moreschini (2023)

The anatomy of a vulnerability database: A systematic mapping study. - Xiaozhou Li 002; Sergio Moreschini; Zheying Zhang; Fabio Palomba; Davide Taibi 001 (J. Syst. Softw., 2023)

6GSoft: Software for Edge-to-Cloud Continuum. - Muhammad Azeem Akbar; Matteo Esposito 001; Sami Hyrynsalmi; Karthikeyan Dinesh Kumar; Valentina Lenarduzzi; Xiaozhou Li 002; Ali Mehraj; Tommi Mikkonen; Sergio Moreschini; Niko Mäkitalo; Markku Oivo; Anna-Sofia Paavonen; et al. (SEAA, 2024)

Continuous Training vs. Transfer Learning on Edge and Fog Environments: A Steam Detection use Case. - Ari Kukkaro; Sergio Moreschini; David Hästbacka (SEAA, 2024)

Best Practices for Resource Provisioning Declaration Within the Cognitive Cloud Continuum. - Sergio Moreschini; Michele Albano; David Hästbacka (SEAA, 2024)

Distributed Home Automation with Home Assistant. - Anders Peter Aavild; Aleksander Rosenkrantz de Lasson; Christian Moesgaard Andersen; Erik Christensen; Sergio Moreschini; David Hästbacka; Davide Taibi 001; Michele Albano (IoT, 2024)

Identifying and Visualizing Key Scenarios in a Serverless Edge-Node System. - Casper Bruun Christensen; Emily Treadwell Pedersen; Matthias Munch Jakobsen; Rasmus Louie Jensen; Sergio Moreschini; Junior Dongo; Davide Taibi 001; Michele Albano (IoT, 2024)

Towards a Technical Debt for AI-based Recommender System. - Sergio Moreschini; Valentina Lenarduzzi; Ludovik Coba (TechDebt@ICSE, 2024)

Edge to cloud tools: A Multivocal Literature Review. - Sergio Moreschini; Elham Younesian; David Hästbacka; Michele Albano; Jiri Hosek; Davide Taibi 001 (J. Syst. Softw., 2024)

Edge Containerization: A Multivocal Review of Orchestration and Offloading Strategies. - Muhammad Shahroz Abbas; Karthikeyan Dinesh Kumar; Sergio Moreschini; Anna-Sofia Paavonen; David Hästbacka; Niko Mäkitalo; Davide Taibi 001 (SOSE, 2025)

Choreography at the Edge: A Multivocal Literature Review. - Aminul Didar Islam; Sergio Moreschini; David Hästbacka; Slinger Jansen; Davide Taibi 001 (SOSE, 2025)

Self-Organizing Edge Computing Distribution Framework for Visual SLAM. - Jussi Kalliola; Lauri Suomela; Sergio Moreschini; David Hästbacka (CoRR, 2025)

Generative AI for Software Architecture. Applications, Trends, Challenges, and Future Directions. - Matteo Esposito 001; Xiaozhou Li 002; Sergio Moreschini; Noman Ahmad; Tomás Cerný; Karthik Vaidhyanathan; Valentina Lenarduzzi; Davide Taibi 001 (CoRR, 2025)

AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study. - Sergio Moreschini; Shahrzad Pour; Ivan Lanese; Daniel Balouek; Justus Bogner; Xiaozhou Li 002; Fabiano Pecorelli; Jacopo Soldani; Eddy Truyen; Davide Taibi 001 (Computing, 2025)

Towards a Small Language Model Lifecycle Framework. - Parsa Miraghaei; Sergio Moreschini; Antti Kolehmainen; David Hästbacka (CoRR, 2025)