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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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Showing 2023Show all

5 papers · 1 filter

cs.IR2023

Towards a Technical Debt for Recommender System

Sergio Moreschini, Ludovik Coba, Valentina Lenarduzzi

Balancing the management of technical debt within recommender systems requires effectively juggling the introduction of new features with the ongoing maintenance and enhancement of…

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.DC2023★ 1 cited

Workrs: Fault Tolerant Horizontal Computation Offloading

Alexander Droob, Daniel Morratz, Frederik Langkilde Jakobsen +6

The broad development and usage of edge devices has highlighted the importance of creating resilient and computationally advanced environments. When working with edge devices these…

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…