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Silvia Mazzini
Researcher at University of L'Aquila
Publications - 38
Citations - 304
Silvia Mazzini is an academic researcher from University of L'Aquila. The author has contributed to research in topics: Unified Modeling Language & Software system. The author has an hindex of 9, co-authored 38 publications receiving 229 citations.
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Proceedings ArticleDOI
CHESS: a model-driven engineering tool environment for aiding the development of complex industrial systems
Antonio Cicchetti,Federico Ciccozzi,Silvia Mazzini,Stefano Puri,Marco Panunzio,Alessandro Zovi,Tullio Vardanega +6 more
TL;DR: This work presents the CHESS tool environment, a novel approach for cross-domain modelling of industrial complex systems that leverages on UML profiling and separation of concerns realised through the specification of well-defined design views, each of which addresses a particular aspect of the problem.
Proceedings ArticleDOI
Low-code engineering for internet of things: a state of research
TL;DR: By analyzing sixteen platforms, a corresponding set of features has been identified to represent the functionalities and the services that each analyzed platform can support and identify the limitations of already existing approaches.
Journal ArticleDOI
The MegaM@Rt2 ECSEL project: MegaModelling at Runtime – Scalable model-based framework for continuous development and runtime validation of complex systems
Wasif Afzal,Hugo Bruneliere,Davide Di Ruscio,Andrey Sadovykh,Silvia Mazzini,Eric Cariou,Dragos Truscan,Jordi Cabot,Abel Gómez,Jesus Gorronogoitia,Luigi Pomante,Pavel Smrz +11 more
TL;DR: This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the above mentioned challenges facing MDE.
Proceedings ArticleDOI
Low-code Engineering for Internet of things: A state of research
TL;DR: In this paper, the authors present the results of a study, which has been conducted to understand the current state of the art of existing platforms, and in particular low-code ones, for developing IoT systems.
CHESS: an Open Source Methodology and Toolset for the Development of Critical Systems.
TL;DR: This paper presents the CHESS open source methodology and toolset, aiming to improve MDE practices and technologies to better address safety, reliability, performance, robustness and other non-functional concerns, while guaranteeing correctness of component development and composition for critical embedded systems.