Predicting and learning executability of composite Web services

Masahiro Tanaka*, Toru Ishida

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


Configuring a composite Web service by setting endpoints reduces the cost of development, but raises the probability of a request message triggering runtime execution failures. Previous works on validation of composite Web services are not useful because the application developer cannot modify atomic/composite services and the specifications needed for validation are not always available. Therefore, in this paper, we address two issues: predicting the executability of composite Web services for each request message, and acquiring input specifications to improve the prediction. To resolve these issues, we model atomic/composite services in a formal specification. Moreover, we apply constraint acquisition algorithm to acquire input specifications of atomic Web services. We conduct an experiment in which the proposed method is applied to a composite Web service in practical use. The result shows that our method can detect almost all messages that will trigger execution failure at a rather early stage of specification acquisition.

Original languageEnglish
Title of host publicationService-Oriented Computing - ICSOC 2008 - 6th International Conference, Proceedings
PublisherSpringer Verlag
Number of pages7
ISBN (Print)3540896473, 9783540896470
Publication statusPublished - 2008
Externally publishedYes
Event6th International Conference on Service-Oriented Computing, ICSOC 2008 - Sydney, Australia
Duration: 2008 Dec 12008 Dec 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5364 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Conference on Service-Oriented Computing, ICSOC 2008

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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