Generation of Repair Plans for Change Propagation
One of the most critical problems in software maintenance and evolution is propagating changes. Although many approaches have been proposed, automated change propagation is still a significant technical challenge in software engineering. In this paper we
- PDF / 10,008,495 Bytes
- 237 Pages / 430.15 x 660.926 pts Page_size
- 72 Downloads / 176 Views
Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
4951
Michael Luck Lin Padgham (Eds.)
Agent-Oriented Software Engineering VIII 8th International Workshop, AOSE 2007 Honolulu, HI, USA, May 14, 2007 Revised Selected Papers
13
Volume Editors Michael Luck King’s College London, Department of Computer Science Strand, London WC2R 2LS, UK E-mail: [email protected] Lin Padgham RMIT University, School of Computer Science and Information Technology Melbourne, VIC 3001, Australia E-mail: [email protected]
Library of Congress Control Number: 2008925093 CR Subject Classification (1998): D.2, I.2.11, F.3, D.1, C.2.4, D.3 LNCS Sublibrary: SL 2 – Programming and Software Engineering ISSN ISBN-10 ISBN-13
0302-9743 3-540-79487-5 Springer Berlin Heidelberg New York 978-3-540-79487-5 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2008 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12262915 06/3180 543210
Preface
The concept of an agent as an autonomous system, capable of interacting with other agents in order to satisy its design objectives, is a natural one for software designers. Just as we can understand many systems as being composed of essentially passive objects, which have state, and upon which we can perform operations, so we can understand many others as being made up of interacting, semi-autonomous agents. This paradigm is especially suited to complex systems. Software architectures that contain many dynamically interacting components, each with their
Data Loading...
