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20212025
most citedAI Techniques in the Microservices Life-Cycle: A Systematic Mapping Study

19 citations · 28 across the 12 of their papers we have counts for

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9 papers · 1 filter

cs.SE2025★ 1 cited

Towards a Small Language Model Lifecycle Framework

Parsa Miraghaei, Sergio Moreschini, Antti Kolehmainen +1

Background: The growing demand for efficient and deployable language models has led to increased interest in Small Language Models (SLMs). However, existing research remains fragme…

cs.SE2025★ 2 cited

Generative AI for Software Architecture. Applications, Challenges, and Future Directions

Matteo Esposito, Xiaozhou Li, Sergio Moreschini +5

Context: Generative Artificial Intelligence (GenAI) is transforming much of software development, yet its application in software architecture is still in its infancy, and no prior…

cs.SE2024★ 1 cited

6GSoft: Software for Edge-to-Cloud Continuum

Muhammad Azeem Akbar, Matteo Esposito, Sami Hyrynsalmi +17

In the era of 6G, developing and managing software requires cutting-edge software engineering (SE) theories and practices tailored for such complexity across a vast number of conne…

cs.SE2023

Edge to Cloud Tools: A Multivocal Literature Review

Sergio Moreschini, Elham Younesian, David Hästbacka +3

Edge-to-cloud computing is an emerging paradigm for distributing computational tasks between edge devices and cloud resources. Different approaches for orchestration, offloading, a…

cs.SE2023★ 19 cited

AI Techniques in the Microservices Life-Cycle: A Systematic Mapping Study

Sergio Moreschini, Shahrzad Pour, Ivan Lanese +7

The use of AI in microservices (MSs) is an emerging field as indicated by a substantial number of surveys. However these surveys focus on a specific problem using specific AI techn…

cs.SE2023★ 3 cited

Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review

Sergio Moreschi, Gilberto Recupito, Valentina Lenarduzzi +3

MLOps tools enable continuous development of machine learning, following the DevOps process. Different MLOps tools have been presented on the market, however, such a number of tool…

cs.SE2021

Fault Prediction based on Software Metrics and SonarQube Rules. Machine or Deep Learning?

Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi

Background. Developers spend more time fixing bugs and refactoring the code to increase the maintainability than developing new features. Researchers investigated the code quality…

cs.SE2021

OSS PESTO: An Open Source Software Project Evaluation and Selection TOol

Xiaozhou Li, Sergio Moreschini

Open source software (OSS), playing an increasingly critical role nowadays, has been commonly adopted and integrated in various software products. For many practitioners, selecting…

cs.SE2021★ 1 cited

Exploring Factors and Metrics to Select Open Source Software Components for Integration: An Empirical Study

Xiaozhou Li, Sergio Moreschini, Zheying Zhang +1

[Context] Open Source Software (OSS) is nowadays used and integrated in most of the commercial products. However, the selection of OSS projects for integration is not a simple proc…