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

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 d...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Garcia, Alessandro (Editor, http://id.loc.gov/vocabulary/relators/edt), Lucena, Carlos (Editor, http://id.loc.gov/vocabulary/relators/edt), Zambonelli, Franco (Editor, http://id.loc.gov/vocabulary/relators/edt), Omicini, Andrea (Editor, http://id.loc.gov/vocabulary/relators/edt), Castro, Jaelson (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Edition:1st ed. 2003.
Series:Lecture Notes in Computer Science, 2603
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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. 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: - software engineering foundations - requirements engineering and software architecture - coordination and mobility - reuse -dependability -empirical studies and applications.
Physical Description:XIII, 287 p. online resource.
ISBN:9783540358282
ISSN:0302-9743 ;
DOI:10.1007/3-540-35828-5