Metrics for evaluating modularity and extensibility in HMAS systems

Valeria Seidita, Patrizia Ribino, Carmelo Lodato, Salvatore Lopes, Valeria Seidita, Massimo Cossentino, Massimo Cossentino, Patrizia Ribino

Risultato della ricerca: Otherpeer review

4 Citazioni (Scopus)

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.
Lingua originaleEnglish
Pagine1061-1069
Numero di pagine9
Stato di pubblicazionePublished - 2015

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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