arXiv subjects

Maria Teresa Rossi

Publications and source records attributed to Maria Teresa Rossi.

6 recordsLinked to original sources

arXiv2026

Generation of Web Apps with Agentic IDEs: An Empirical Assessment

Agentic IDEs are among the most significant innovations in software engineering, aiming to accelerate application development through LLM-based agents that can assist developers during development. However, their evaluation in end-to-end development tasks involving the generation of complete applications remains limited. To fill this gap, we propose a rigorous comparative analysis of three popular agentic IDEs (Copilot, Cursor, and Windsurf) in the generation of five full-stack Web applications from scratch. Results show high maturity in the generation of established patterns, such as CRUD operations and authentication features. In contrast, the generation of less common distributed architectures, such as a task queue architecture, produces significantly more errors. Overall, results show that Agentic IDEs cannot replace developers but shift their role toward building software by orchestrating LLM-based agents through natural-language instructions and iterative refinement. Yet, each agentic IDE shows its peculiarities, although differences are narrow.

cs.SE↗

arXiv2026

"Where is My Troubleshooting Procedure?": Studying the Potential of RAG in Assisting Failure Resolution of Large Cyber-Physical System

In today's complex industrial environments, operators must often navigate through extensive technical manuals to identify troubleshooting procedures that may help react to some observed failure symptoms. These manuals, written in natural language, describe many steps in detail. Unfortunately, the number, magnitude, and articulation of these descriptions can significantly slow down and complicate the retrieval of the correct procedure during critical incidents. Interestingly, Retrieval Augmented Generation (RAG) enables the development of tools based on conversational interfaces that can assist operators in their retrieval tasks, improving their capability to respond to incidents. This paper presents the results of a set of experiments that derive from the analysis of the troubleshooting procedures available in Fincantieri, a large international company developing complex naval cyber-physical systems. Results show that RAG can assist operators in reacting promptly to failure symptoms, although specific measures have to be taken into consideration to cross-validate recommendations before actuating them.

cs.SE↗

arXiv2025

A Systematic Mapping Study on Smart Cities Modeling Approaches

The Smart City concept was introduced to define an idealized city characterized by automation and connection. It then evolved rapidly by including further aspects, such as economy, environment. Since then, many publications have explored various aspects of Smart Cities across different application domains and research communities, acknowledging the interdisciplinary nature of this subject. In particular, our interest focuses on how smart cities are designed and modeled, as a whole or as regards with their subsystems, when dealing with the accomplishment of the research goals in this complex and heterogeneous domain. To this aim, we performed a systematic mapping study on smart cities modeling approaches identifying the relevant contributions (i) to get an overview of existing research approaches, (ii) to identify whether there are any publication trends, and (iii) to identify possible future research directions. We followed the guidelines for conducting systematic mapping studies by Petersen et al. to analyze smart cities modeling publications. Our analysis revealed the following main findings: (i) smart governance is the most investigated and modeled smart city dimension; (ii) the most used modeling approaches are business, architectural, and ontological modeling approaches, spanning multiple application fields; (iii) the great majority of existing technologies for modeling smart cities are not yet proven in operational environments; (iv) diverse research communities publish their results in a multitude of different venues which further motivates the presented literature study. Researchers can use our results for better understanding the state-of-the-art in modeling smart cities, and as a foundation for further analysis of specific approaches about smart cities modeling. Lastly, we also discuss the impact of our analysis for the Model-Driven Engineering community.

cs.SE↗

arXiv2025

From PREVENTion to REACTion: Enhancing Failure Resolution in Naval Systems

Complex and large industrial systems often misbehave, for instance, due to wear, misuse, or faults. To cope with these incidents, it is important to timely detect their occurrences, localize the sources of the problems, and implement the appropriate countermeasures. This paper reports our experience with a state-of-the-art failure prediction method, PREVENT, and its extension with a troubleshooting module, REACT, applied to naval systems developed by Fincantieri. Our results show how to integrate anomaly detection with troubleshooting procedures. We conclude by discussing a lesson learned, which may help deploy and extend these analyses to other industrial products.

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arXiv2024

Towards Model-Driven Dashboard Generation for Systems-of-Systems

Configuring and evolving dashboards in complex and large-scale Systems-of-Systems (SoS) can be an expensive and cumbersome task due to the many Key Performance Indicators (KPIs) that are usually collected and have to be arranged in a number of visualizations. Unfortunately, setting up dashboards is still a largely manual and error-prone task requiring extensive human intervention. This short paper describes emerging results about the definition of a model-driven technology-agnostic approach that can automatically transform a simple list of KPIs into a dashboard model, and then translate the model into an actual dashboard for a target dashboard technology. Dashboard customization can be efficiently obtained by solely modifying the abstract model representation, freeing operators from expensive interactions with actual dashboards.

cs.SE↗

arXiv2023

Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques

IoT systems complexity and susceptibility to failures pose significant challenges in ensuring their reliable operation Failures can be internally generated or caused by external factors impacting both the systems correctness and its surrounding environment To investigate these complexities various modeling approaches have been proposed to raise the level of abstraction facilitating automation and analysis FailureLogic Analysis FLA is a technique that helps predict potential failure scenarios by defining how a components failure logic behaves and spreads throughout the system However manually specifying FLA rules can be arduous and errorprone leading to incomplete or inaccurate specifications In this paper we propose adopting testing methodologies to improve the completeness and correctness of these rules How failures may propagate within an IoT system can be observed by systematically injecting failures while running test cases to collect evidence useful to add complete and refine FLA rules

cs.SE↗