Search

Your search keyword '"Iovino, Ludovico"' showing total 190 results
Start Over Author "Iovino, Ludovico"
190 results on '"Iovino, Ludovico"'

1. On the Need for Configurable Travel Recommender Systems: A Systematic Mapping Study

Author

Pereira, Rickson Simioni, Di Sipio, Claudio, De Sanctis, Martina, and Iovino, Ludovico

Subjects
Computer Science - Software Engineering
Abstract

Travel Recommender Systems TRSs have been proposed to ease the burden of choice in the travel domain by providing valuable suggestions based on user preferences Despite the broad similarities in functionalities and data provided by TRSs these systems are significantly influenced by the diverse and heterogeneous contexts in which they operate This plays a crucial role in determining the accuracy and appropriateness of the travel recommendations they deliver For instance in contexts like smart cities and natural parks diverse runtime informationsuch as traffic conditions and trail status respectivelyshould be utilized to ensure the delivery of pertinent recommendations aligned with user preferences within the specific context However there is a trend to build TRSs from scratch for different contexts rather than supporting developers with configuration approaches that promote reuse minimize errors and accelerate timetomarket To illustrate this gap in this paper we conduct a systematic mapping study to examine the extent to which existing TRSs are configurable for different contexts The conducted analysis reveals the lack of configuration support assisting TRSs providers in developing TRSs closely tied to their operational context Our findings shed light on uncovered challenges in the domain thus fostering future research focused on providing new methodologies enabling providers to handle TRSs configurations, Comment: Accepted at the 50th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA) 2024

Published
2024

2. Dynamic Provisioning of REST APIs for Model Management

Author

Tuyishime, Adiel, Basciani, Francesco, Izquierdo, Javier Luis Cánovas, and Iovino, Ludovico

Subjects
Computer Science - Software Engineering
Abstract

Model-Driven Engineering (MDE) is a software engineering methodology focusing on models as primary artifacts. In the last years, the emergence of Web technologies has led to the development of Web-based modeling tools and model-based approaches for the Web that offer a web-based environment to create and edit models or model-based low-code solutions. A common requirement when developing Web-based modeling tools is to provide a fast and efficient way for model management, and this is particularly a hot topic in model-based system engineering. However, the number of approaches offering RESTful services for model management is still limited. Among the alternatives for developing distributed services, there is a growing interest in the use of RESTful services. In this paper, we present an approach to provide RESTful services for model management that can be used to interact with any kind of model and can be used to build a modeling platform providing modeling-as-a-service. The approach follows the REST principles to provide a stateless and scalable service., Comment: 3 pages, 1 figure, 1 table

Published
2024

4. Stakeholder Inclusion and Value Diversity: An Evaluation Using an Access Control System

Author

Alidoosti, Razieh, De Sanctis, Martina, Iovino, Ludovico, Lago, Patricia, Razavian, Maryam, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tekinerdoğan, Bedir, editor, Spalazzese, Romina, editor, Sözer, Hasan, editor, Bonfanti, Silvia, editor, and Weyns, Danny, editor

Published
2024
Full Text
View/download PDF

7. Unavailable Transit Feed Specification: Making it Available with Recurrent Neural Networks

Author

Iovino, Ludovico, Nguyen, Phuong T., Di Salle, Amleto, Gallo, Francesco, and Flammini, Michele

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Studies on public transportation in Europe suggest that European inhabitants use buses in ca. 56% of all public transport travels. One of the critical factors affecting such a percentage and more, in general, the demand for public transport services, with an increasing reluctance to use them, is their quality. End-users can perceive quality from various perspectives, including the availability of information, i.e., the access to details about the transit and the provided services. The approach proposed in this paper, using innovative methodologies resorting on data mining and machine learning techniques, aims to make available the unavailable data about public transport. In particular, by mining GPS traces, we manage to reconstruct the complete transit graph of public transport. The approach has been successfully validated on a real dataset collected from the local bus system of the city of L'Aquila (Italy). The experimental results demonstrate that the proposed approach and implemented framework are both effective and efficient, thus being ready for deployment., Comment: 11 pages, 8 figures, accepted for publication by IEEE Transactions on Intelligent Transportation Systems (T-ITS)

Published
2021
Full Text
View/download PDF

15. Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment

Author

De Sanctis, Martina, Iovino, Ludovico, Rossi, Maria Teresa, Wimmer, Manuel, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hacid, Hakim, editor, Kao, Odej, editor, Mecella, Massimo, editor, Moha, Naouel, editor, and Paik, Hye-young, editor

Published
2021
Full Text
View/download PDF

18. A Flexible Architecture for Key Performance Indicators Assessment in Smart Cities

Author

De Sanctis, Martina, Iovino, Ludovico, Rossi, Maria Teresa, Wimmer, Manuel, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Jansen, Anton, editor, Malavolta, Ivano, editor, Muccini, Henry, editor, Ozkaya, Ipek, editor, and Zimmermann, Olaf, editor

Published
2020
Full Text
View/download PDF

20. Building International Doctoral Schools in Computer Science in Italy, De Nicola’s Way

Author

Aceto, Luca, D’Angelo, Gianlorenzo, Flammini, Michele, Inverso, Omar, Iovino, Ludovico, Trubiani, Catia, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Boreale, Michele, editor, Corradini, Flavio, editor, Loreti, Michele, editor, and Pugliese, Rosario, editor

Published
2019
Full Text
View/download PDF

23. Systematic Recovery of MDE Technology Usage

Author

Di Rocco, Juri, Di Ruscio, Davide, Härtel, Johannes, Iovino, Ludovico, Lämmel, Ralf, Pierantonio, Alfonso, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Rensink, Arend, editor, and Sánchez Cuadrado, Jesús, editor

Published
2018
Full Text
View/download PDF

24. Automatic Transformation Co-evolution Using Traceability Models and Graph Transformation

Author

Rutle, Adrian, Iovino, Ludovico, König, Harald, Diskin, Zinovy, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pierantonio, Alfonso, editor, and Trujillo, Salvador, editor

Published
2018
Full Text
View/download PDF

27. AMINO: A quality assessment framework for modeling ecosystems.

Author

Di Ruscio, Davide, Iovino, Ludovico, and Pierantonio, Alfonso

Subjects
*COMPUTER software quality control, *DATA analytics, *QUALITY factor, *COMPUTER software development, *ECOSYSTEMS, *INSTITUTIONAL repositories
Abstract

Summary: Models are core assets in Model‐Driven Engineering (MDE). They are pervasively used throughout software development processes to leverage automation, increase cost‐effectiveness, and enhance quality factors. Model repositories have been successfully proposed to enforce reuse and elicit correlations among modeling artifacts, enabling storing operations on model‐based artifacts and collaborative modeling features. Maintaining and improving the quality of modeling artifacts is mandatory for software quality scale‐ups. Limiting the exploration of datasets and repositories of models to individual artifacts might reduce the ability to capture insights and reuse opportunities. This paper proposes AMINO, an analytics tool for model repositories supporting the discovery and quality evaluation of modeling ecosystems. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

34. Reusing Model Transformations Through Typing Requirements Models

Author

de Lara, Juan, Di Rocco, Juri, Di Ruscio, Davide, Guerra, Esther, Iovino, Ludovico, Pierantonio, Alfonso, Cuadrado, Jesús Sánchez, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Huisman, Marieke, editor, and Rubin, Julia, editor

Published
2017
Full Text
View/download PDF

35. A Feature-Based Approach for Variability Exploration and Resolution in Model Transformation Migration

Author

Di Ruscio, Davide, Etzlstorfer, Juergen, Iovino, Ludovico, Pierantonio, Alfonso, Schwinger, Wieland, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Anjorin, Anthony, editor, and Espinoza, Huáscar, editor

Published
2017
Full Text
View/download PDF

40. Supporting Variability Exploration and Resolution During Model Migration

Author

Di Ruscio, Davide, Etzlstorfer, Juergen, Iovino, Ludovico, Pierantonio, Alfonso, Schwinger, Wieland, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wąsowski, Andrzej, editor, and Lönn, Henrik, editor

Published
2016
Full Text
View/download PDF

41. Automated Clustering of Metamodel Repositories

Author

Basciani, Francesco, Di Rocco, Juri, Di Ruscio, Davide, Iovino, Ludovico, Pierantonio, Alfonso, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Nurcan, Selmin, editor, Soffer, Pnina, editor, Bajec, Marko, editor, and Eder, Johann, editor

Published
2016
Full Text
View/download PDF

45. Marine Data Observability using KPIS: An MDSE Approach

Author

Lima, K, Iovino, L, Rossi, M, Heldal, R, Oyetoyan, T, De Sanctis, M, Lima, Keila, Iovino, Ludovico, Rossi, Maria Teresa, Heldal, Rogardt, Oyetoyan, Tosin Daniel, De Sanctis, Martina, Lima, K, Iovino, L, Rossi, M, Heldal, R, Oyetoyan, T, De Sanctis, M, Lima, Keila, Iovino, Ludovico, Rossi, Maria Teresa, Heldal, Rogardt, Oyetoyan, Tosin Daniel, and De Sanctis, Martina

Abstract

The 2023 climate change report states that the current temperature rise has led to recurring and hazardous weather events, devastating communities and the planet. Ocean observation systems and marine data generated by them are crucial for predicting these extreme events, understanding the ecosystem states, and regulating marine industries. Many regional and global initiatives have been supporting the collection and sharing of more data, filling gaps in ocean observation. However, some challenges can impact the quality of marine data at different points of data delivery pipelines: from acquisition and transmission at the Internet-of-Underwater-Things (IoUT) level up to storage and sharing. IoUT devices can have challenges due to limited battery, rough underwater terrain, error-prone wireless underwater communication, or low communication bandwidth to the cloud. Thus, mechanisms must be put in place to allow monitoring of data quality throughout the delivery pipeline, to optimize the usage of data and improve decision-making based on the data. This study explores observation of marine data quality on a data platform using Key Performance Indicators (KPIs). We have created a model of the platform and specified KPIs. Both are fulfilled by platform-collected data quality metrics, with the purpose to infer the state of the data in the platform over different periods. Our results show that the model-based implementation is able to function as a semantic translator between a metric monitoring toolkit and the platform objectives, integrating it into an observable subsystem for the overall middleware data platform.

Published
2023

47. Automated Chaining of Model Transformations with Incompatible Metamodels

Author

Basciani, Francesco, Di Ruscio, Davide, Iovino, Ludovico, Pierantonio, Alfonso, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Dingel, Juergen, editor, Schulte, Wolfram, editor, Ramos, Isidro, editor, Abrahão, Silvia, editor, and Insfran, Emilio, editor

Published
2014
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results