Software Engineering for Large-Scale Multi-Agent Systems. Research Issues and Practical Applications


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Alessandro F. Garcia, Carlos Lucena, Franco Zambonelli, Andrea Omicini, Jaelson B. Castro (a cura di)

Lecture Notes in Computer Science (Lecture Notes in Computer Science: State-of-the-Art Survey) 2603
Springer Berlin Heidelberg
aprile 2003

<div>Nowadays, engineering large-scale software systems means dealing with complex systems composed of pervasive software components that move around and adapt to nondeterministic and open environments, like the Internet, in order to achieve systems design goals through the coordination of autonomously distributed services. The agent metaphor, in particular software agents and multi-agent systems (MAS), constitutes a promising approach for covering most of the software development life cycle, from conceptual modeling and requirements specification to architectural definition, design, and implementation.</div>

<div>This book presents 17 carefully reviewed papers arranged in order to provide a coherent survey of how to exploit agent properties and MAS issues in today's software systems. The book offers the following topical sections:</div>

  • software engineering foundations
  • requirements engineering and software architecture
  • coordination and mobility
  • reuse
  • dependability
  • empirical studies and applications
(keywords) agent based software engineering; agent systems architectures; AOSE; collaborative computing; large-scale multi-agent systems; mobile agents; MAS engineering; OO software development; software agents; software architectures; web services

Riviste & collane

Eventi

  • 1st International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS 2002) — 19/05/2002

Tags:

Pubblicazione

— a cura di

Alessandro F. Garcia, Carlos Lucena, Franco Zambonelli, Andrea Omicini, Jaelson B. Castro

— stato

pubblicato

— tipo

curatela

— data di pubblicazione

aprile 2003

— collana

Lecture Notes in Computer Science / Lecture Notes in Computer Science: State-of-the-Art Survey

— volume

2603

— pagine

XIV, 285

URL

pagina originale

identificatori

— DOI

10.1007/3-540-35828-5

— print ISSN

0302-9743

— online ISSN

1611-3349

— print ISBN

978-3-540-08772-4

— online ISBN

978-3-540-35828-2

— ISBN–10

3-540-08772-9

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