AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2018
Sabatucci, Luca; Simone, Giada De; Cossentino, Massimo
Shipboard Power System Reconfiguration: A Self-Adaptation Exemplar Proceedings Article
In: Proceedings of the 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems, pp. 49–52, 2018.
Abstract | Links | BibTeX | Tags: Benchmark, Self-Adaptive Systems, Shipboard power system
@inproceedings{sabatucciShipboardPowerSystem2018,
title = {Shipboard Power System Reconfiguration: A Self-Adaptation Exemplar},
author = { Luca Sabatucci and Giada De Simone and Massimo Cossentino},
doi = {10.1145/3196478.3196486},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems},
pages = {49--52},
abstract = {The Shipboard Power System (SPS) is the component responsible for granting energy to navigation, communication, and operational systems. The SPS Reconfiguration is the ability to react to electrical failure and to restore critical operations for granting vessel survivability. This work illustrate why SPS Reconfiguration software system may be implemented as a self-adaptive system. To illustrate this relation we exploit a systematic classification of SPS reconfiguration methods, by highlighting terms and attributes related to self-adaptive systems. In particular, the research method considers four types of self-adaptation systems with different degrees of autonomy and proactivity. The corresponding data analysis highlights a strong correlation between SPS Reconfiguration and Self-Adaptive systems, revealing most of the SPS reconfiguration techniques found in literature often belong to three of the four types of adaptation. The outcome of the paper is proposing SPS as an interesting benchmark for comparing self-adaptive approaches, also highlighting scenarios, tasks, norms goals and quality aspects with the support of the IEEE specifications.},
keywords = {Benchmark, Self-Adaptive Systems, Shipboard power system},
pubstate = {published},
tppubtype = {inproceedings}
}
The Shipboard Power System (SPS) is the component responsible for granting energy to navigation, communication, and operational systems. The SPS Reconfiguration is the ability to react to electrical failure and to restore critical operations for granting vessel survivability. This work illustrate why SPS Reconfiguration software system may be implemented as a self-adaptive system. To illustrate this relation we exploit a systematic classification of SPS reconfiguration methods, by highlighting terms and attributes related to self-adaptive systems. In particular, the research method considers four types of self-adaptation systems with different degrees of autonomy and proactivity. The corresponding data analysis highlights a strong correlation between SPS Reconfiguration and Self-Adaptive systems, revealing most of the SPS reconfiguration techniques found in literature often belong to three of the four types of adaptation. The outcome of the paper is proposing SPS as an interesting benchmark for comparing self-adaptive approaches, also highlighting scenarios, tasks, norms goals and quality aspects with the support of the IEEE specifications.
Sabatucci, Luca; Simone, Giada De; Cossentino, Massimo
Shipboard power system reconfiguration: a self-adaptation exemplar Proceedings Article
In: Proceedings of the 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems, pp. 49–52, 2018.
Abstract | Links | BibTeX | Tags: Benchmark, Self-Adaptive Systems, Shipboard power system
@inproceedings{sabatucci_shipboard_2018,
title = {Shipboard power system reconfiguration: a self-adaptation exemplar},
author = {Luca Sabatucci and Giada De Simone and Massimo Cossentino},
doi = {10.1145/3196478.3196486},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems},
pages = {49–52},
abstract = {The Shipboard Power System (SPS) is the component responsible for granting energy to navigation, communication, and operational systems. The SPS Reconfiguration is the ability to react to electrical failure and to restore critical operations for granting vessel survivability. This work illustrate why SPS Reconfiguration software system may be implemented as a self-adaptive system. To illustrate this relation we exploit a systematic classification of SPS reconfiguration methods, by highlighting terms and attributes related to self-adaptive systems. In particular, the research method considers four types of self-adaptation systems with different degrees of autonomy and proactivity. The corresponding data analysis highlights a strong correlation between SPS Reconfiguration and Self-Adaptive systems, revealing most of the SPS reconfiguration techniques found in literature often belong to three of the four types of adaptation. The outcome of the paper is proposing SPS as an interesting benchmark for comparing self-adaptive approaches, also highlighting scenarios, tasks, norms goals and quality aspects with the support of the IEEE specifications.},
keywords = {Benchmark, Self-Adaptive Systems, Shipboard power system},
pubstate = {published},
tppubtype = {inproceedings}
}
The Shipboard Power System (SPS) is the component responsible for granting energy to navigation, communication, and operational systems. The SPS Reconfiguration is the ability to react to electrical failure and to restore critical operations for granting vessel survivability. This work illustrate why SPS Reconfiguration software system may be implemented as a self-adaptive system. To illustrate this relation we exploit a systematic classification of SPS reconfiguration methods, by highlighting terms and attributes related to self-adaptive systems. In particular, the research method considers four types of self-adaptation systems with different degrees of autonomy and proactivity. The corresponding data analysis highlights a strong correlation between SPS Reconfiguration and Self-Adaptive systems, revealing most of the SPS reconfiguration techniques found in literature often belong to three of the four types of adaptation. The outcome of the paper is proposing SPS as an interesting benchmark for comparing self-adaptive approaches, also highlighting scenarios, tasks, norms goals and quality aspects with the support of the IEEE specifications.