Nowadays, software systems are more and more frequently designed in order to realize complex dynamical behavior for solving complicated problems. Holonic Multi Agent Systems (HMAS) is spreading for the development of such systems since they allow to manage system requirements in terms of behaviors and organizational patterns. Traditional software engineering metrics are not useful for measuring HMAS architectures since they do not consider different nested levels of organizational structures. We want to contribute to this issue proposing some metrics for evaluating modularity and extensibility of HMAS architectures.

Cossentino, M., Lodato, C., Lopes, S., Ribino, P., Seidita, V. (2015). Metrics for evaluating modularity and extensibility in HMAS systems. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (pp. 1061-1069). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Metrics for evaluating modularity and extensibility in HMAS systems

COSSENTINO, Massimo;RIBINO, Patrizia;SEIDITA, Valeria
2015-01-01

Abstract

Nowadays, software systems are more and more frequently designed in order to realize complex dynamical behavior for solving complicated problems. Holonic Multi Agent Systems (HMAS) is spreading for the development of such systems since they allow to manage system requirements in terms of behaviors and organizational patterns. Traditional software engineering metrics are not useful for measuring HMAS architectures since they do not consider different nested levels of organizational structures. We want to contribute to this issue proposing some metrics for evaluating modularity and extensibility of HMAS architectures.
2015
Settore IINF-05/A - Sistemi di elaborazione delle informazioni
978-1-4503-3770-0
Cossentino, M., Lodato, C., Lopes, S., Ribino, P., Seidita, V. (2015). Metrics for evaluating modularity and extensibility in HMAS systems. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (pp. 1061-1069). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/223410
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