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dc.contributor.authorMunialo, S. W.
dc.contributor.authorMuketha, Geoffrey M.
dc.contributor.authorOmieno, K. K.
dc.date.accessioned2019-11-04T08:21:17Z
dc.date.available2019-11-04T08:21:17Z
dc.date.issued2019-03
dc.identifier.citationInternational Journal of Software Engineering & Applications (IJSEA), Vol.10, No.2, March 2019en_US
dc.identifier.urihttp://aircconline.com/ijsea/V10N2/10219ijsea06.pdf
dc.identifier.urihttps://www.semanticscholar.org/paper/Size-Metrics-for-Service-Oriented-Architecture-Munialo-Muketha/5fb16d27fed0417c90487c7f9628f7ed9f57e2dc
dc.identifier.urihttps://www.researchgate.net/publication/332294196_Size_Metrics_for_Service-Oriented_Architecture
dc.identifier.urihttp://hdl.handle.net/123456789/4365
dc.description.abstractDetermining the size, effort and cost of Service-oriented Architecture (SOA) systems is important to facilitate project planning and eventually successful implementation of a software project. SOA approach is one of the recent software architectures that allow integration of applications within and outside the organization regardless of heterogeneous technology over a distributed network. A number of research studies have been done to measure SOA size.However, these studies are not based on software metrics rendering them to be ineffective in their estimation. This study defined a set of SOA size metrics based on Unified Modelling Language (UML). The study employed Briand’s theoretical validation to test the validity of the designed SOA size metrics. Findings from this study will provide metrics to measure SOA size more accurately and form a basis for future software engineering researchers to develop more effective and more accurate size metrics and effort estimation methods.en_US
dc.language.isoenen_US
dc.subjectService-oriented Architectureen_US
dc.subjectWeb servicesen_US
dc.subjectsoftware metricsen_US
dc.subjectUnified Modelling Languageen_US
dc.subjecteffort estimationen_US
dc.titleSize Metrics for Service-Oriented Architectureen_US
dc.typeArticleen_US


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