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

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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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
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (497 KB) | Citation | Downloads: 890 | Views: 4,040

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

Abstract
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Full text preview
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]

[6] http://www.w3.org/TR/1998/REC-xml-19980210

[7] WS-I Basic Profile Version 1.0 http://www.ws-i.org/Profiles/BasicProfile-1.0-2004-04-16.html

[8] http://www.w3.org/TR/xmlschema-1

[9] http://www.w3.org/TR/2004/REC-xmlschema-1-20041028

[10] http://www.w3.org/TR/2001/PR-xmlschema-0-20010330

[11] http://www.w3.org/TR/2004/REC-xmlschema-2-20041028

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

[13] http://www.xml.gr.jp/relax

[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 9]


[16] http://www.w3.org/TR/wsdl

[17] http://www.w3.org/TR/soap

[18] http://www.oasis-open.org/committees/uddi-spec/doc/tcspecs.htm

[19] http://www.w3.org/TR/wsdl20

[20] http://www.w3.org/TR/2004/WD-wsdl20-20040803/#migration

[21] http://www.xmethods.com, http://www.webservicelist.com

[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 273] [SCOPUS Times Cited 393]


References Weight

Web of Science® Citations for all references: 273 TCR
SCOPUS® Citations for all references: 402 TCR

Web of Science® Average Citations per reference: 12 ACR
SCOPUS® Average Citations per reference: 17 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 2017-09-25 05:20 in 16 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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