Preferential refinements of absteact state machines for service mediators

Simple item page
dc.contributor.authorSchewe, Klaus-Dieter
dc.contributor.authorWang, Qing (Ms)
dc.coverage.spatialXi'an China
dc.date.accessioned2015-12-13T22:19:53Z
dc.date.createdAugust 27-29 2012
dc.date.issued2012
dc.date.updated2016-02-24T09:04:57Z
dc.description.abstractLarge-scale service-oriented computing is based on the idea that services from various servers are combined into one distributed application. For this the notion of service mediator has been coined, which captures specifications of composed services with
dc.identifier.isbn9780769548300
dc.identifier.urihttp://hdl.handle.net/1885/72055
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesInternational Conference on Quality Software (QSIC 2012)
dc.sourceProceedings - International Conference on Quality Software
dc.subjectKeywords: Abstract state machines; Personalisation; Preference rules; Refinement; Service mediator; Specifications; Quality of service Abstract state machine; Personalisation; Preference rules; Refinement; Service mediator
dc.titlePreferential refinements of absteact state machines for service mediators
dc.typeConference paper
local.bibliographicCitation.lastpage166
local.bibliographicCitation.startpage158
local.contributor.affiliationSchewe, Klaus-Dieter, Software Competence Center Hagenberg
local.contributor.affiliationWang, Qing (Ms), College of Engineering and Computer Science, ANU
local.contributor.authoruidWang, Qing (Ms), u5170295
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor029902 - Complex Physical Systems
local.identifier.ariespublicationf5625xPUB3028
local.identifier.doi10.1109/QSIC.2012.22
local.identifier.scopusID2-s2.0-84869143379
local.identifier.thomsonID000309942600025
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Schewe_Preferential_refinements_of_2012.pdf
Size:
218.63 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS