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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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  2/2009 - 2

Data Complexity Metrics for XML Web Services

BASCI, D. See more information about BASCI, D. on SCOPUS See more information about BASCI, D. on IEEExplore See more information about BASCI, D. on Web of Science, MISRA, S. See more information about MISRA, S. on SCOPUS See more information about MISRA, S. on SCOPUS See more information about MISRA, S. on Web of Science
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Download PDF pdficon (497 KB) | Citation | Downloads: 870 | Views: 3,707

Author keywords
web services, XMl, WSDL, complexity metrics

References keywords
services(7), wsdl(5), xmlschema(4), software(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-06-02
Volume 9, Issue 2, Year 2009, On page(s): 9 - 15
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.02002
Web of Science Accession Number: 000268723600002
SCOPUS ID: 70349171983

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Web services that are based on eXtensible Markup Language (XML) technologies enable integration of diverse IT processes and systems and have been gaining extraordinary acceptance from the basic to the most complicated business and scientific processes. The maintainability is one of the important factors that affect the quality of the Web services that can be seen a kind of software project. The effective management of any type of software projects requires modelling, measurement, and quantification. This study presents a metric for the assessment of the quality of the Web services in terms of its maintainability. For this purpose we proposed a data complexity metric that can be evaluated by analyzing WSDL (Web Service Description Language) documents used for describing Web services.

References | Cited By  «-- Click to see who has cited this paper

[1] T. Erl, Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services, Prentice Hall, 2004 [PermaLink]

[2] D. Gourley, B. Totty, "HTTP: The Definitive Guide", O'Reilly Publishers, 2002 [PermaLink]

[3] E. Newcomer, G. Lomow, Understanding SOA with Web Services, Addison Wesley Professional, 2004 [PermaLink]

[4] E. Cerami, Web Services Essentials, Distributed Applications with XML-RPC, SOAP, UDDI & WSDL, O'Reilly, 2002 [PermaLink]

[5] S. Weerawarana, F. Curbera, F. Leymann, T. Storey, D.F. Ferguson, Web Services Platform Architecture: SOAP, WSDL, WS-Policy, WSAddressing, WS-BPEL, WS-Reliable Messaging, and More, Prentice Hall, 2005 [PermaLink]


[7] WS-I Basic Profile Version 1.0





[12] ISO/IEC, Information Technology-Text and Office Systems - "Regular Language Description for XML (RELAX) - Part 1: RELAX Core, 2000. D TR 22250-1"


[14] D. Basci, S. Misra, "Complexity Metric for XML Schema Documents", Proceeding of 5thinternational Workshop on SOA and Web Services, OOPSLA2007

[15] Y. Yu, J. Lu, J. Fernandez-Ramil, P. Yuan, "Comparing Web Services with other Software Components", Proceeding of IEEE International Conference on Web Services (ICWS 007)
[CrossRef] [SCOPUS Times Cited 3]







[22] C. Kaner, "Software Engineering Metrics: What do they Measure and how do we know?", Proceedings of 10th International Software Metrics Symposium, Metrics 2004

[23] L.C. Briand, S. Morasca, V.R. Basily, "Property based Software Engineering Measurement", IEEE Transactions on SE,1996, vol. 22, 1, pp.68-86
[CrossRef] [Web of Science Times Cited 251] [SCOPUS Times Cited 365]

References Weight

Web of Science® Citations for all references: 251 TCR
SCOPUS® Citations for all references: 368 TCR

Web of Science® Average Citations per reference: 11 ACR
SCOPUS® Average Citations per reference: 16 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-07 15:26 in 14 seconds.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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