Software Engineering Research, Management and Applications 2010 (Studies in Computational Intelligence, 296, Band 296)

Lee, Roger, Alain Abran Olga Ormandjieva u. a.:

ISBN 10: 3642132723 / ISBN 13: 9783642132728

Published by Springer, 2010

About this Item

266 Seiten; 9783642132728.3 Gewicht in Gramm: 1.

Seller Inventory # 1032298

Bibliographic Details

• Title: Software Engineering Research, Management and Applications 2010 (Studies in Computational Intelligence, 296, Band 296)
• Publisher: Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 3642132723
• ISBN 13: 9783642132728
• Binding: hardcover
• Condition: Gut
• Weight: 1 gram
• Seller catalogs:
  • Varia

About this title

Synopsis

th The purpose of the 8 Conference on Software Engineering Research, Mana- ment and Applications (SERA 2010) held on May 24 – 26, 2010 in Montreal, Canada was to bring together researchers and scientists, businessmen and ent- preneurs, teachers and students to discuss the numerous fields of computer s- ence, and to share ideas and information in a meaningful way. Our conference officers selected the best 16 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In Chapter 1, Emil Vassev and Serguei Mokhov discuss their work in creating a Distributed Modular Audio Recognition Framework capable of self-healing using the Autonomic System Specification Language. In Chapter 2, Yuhong Yan et al. present a new model of the Web Service Com- sition Problem and propose a reparative method based on planning graphs. In Chapter 3, Chandan Sarkar et al. explore options for conducting remote usab- ity tests using their newly-developed Total Cost of Administration (TCA) tool to collect and analyze test results. In Chapter 4, Idir Ait-Sadoune and Yamine Ait-Ameur focus on the formal - scription, modeling, and validation of web services compositions and suggest a refinement based method that encodes the Business Process Execution Language (BPEL) model’s decompositions.