An approach to improve code-first web services discoverability at development time
Authors: 
José Luis Ordiales Coscia, Marco Crasso, Cristian Mateos, Alejandro ZuninoAuthors Info & Claims
José Luis Ordiales Coscia, Marco Crasso, Cristian Mateos, Alejandro ZuninoAuthors Info & ClaimsPages 638 - 643
Abstract
Previous efforts towards simplifying Web Service discovery have shown that avoiding some well-known WSDL specification anti-patterns yield quite good results in making more discoverable services. The anti-patterns, however, have been studied with contract-first Web Services, a service construction methodology that is much less popular in the software industry compared to code-first. We study a number of source code refactorings that can be applied at service development time to reduce the presence of anti-patterns in code-first WSDL documents. The cornerstone of these refactorings is a statistical correlation between common object-oriented (OO) metrics and the anti-patterns computed by using a data-set of real Web Services. We quantify the impact of the refactorings on Web Service discovery and show that more clear WSDL documents are generated and service discovery is greatly improved.
References
[1]
E. Agichtein, E. Brill, S. Dumais, and R. Ragno. Learning user interaction models for predicting Web search result preferences. In 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 3--10. ACM, 2006.
[2]
J. Al Dallal. Measuring the discriminative power of object-oriented class cohesion metrics. IEEE Transactions on Software Engineering, 2010. To appear.
[3]
M. Blake and M. Nowlan. Taming Web Services from the wild. IEEE Internet Computing, 12: 62--69, September 2008.
[4]
S. Chidamber and C. Kemerer. A metrics suite for object oriented design. IEEE Transactions on Software Engineering, 20(6): 476--493, 1994.
[5]
M. Crasso, A. Zunino, and M. Campo. Query by example for Web Services. In 2008 Web Technology Track (WT) - ACM Symposium on Applied computing (SAC), pages 2376--2380. ACM, 2008.
[6]
M. Crasso, A. Zunino, and M. Campo. A survey of approaches to Web Service discovery in Service-Oriented Architectures. Journal of Database Management, 22(1): 103--134, 2011.
[7]
N. Fenton and S. Pfleeger. Software Metrics: A Rigorous and Practical Approach. PWS Publishing Co., Boston, MA, USA, 2nd edition, 1998.
[8]
M. Fowler, K. Beck, J. Brant, W. Opdyke, and D. Roberts. Refactoring: Improving the Design of Existing Code. Addison-Wesley Professional, 1 edition, July 1999.
[9]
M. Grechanik, C. Fu, Q. Xie, C. McMillan, D. Poshyvanyk, and C. Cumby. A search engine for finding highly relevant applications. In 32nd ACM/IEEE International Conference on Software Engineering, pages 475--484. ACM, 2010.
[10]
A. Heß, E. Johnston, and N. Kushmerick. ASSAM: A tool for semi-automatically annotating semantic Web Services. In International Semantic Web Conference, volume 3298 of LNCS, pages 320--334. Springer, 2004.
[11]
C. Mateos, M. Crasso, A. Zunino, and M. Campo. Separation of concerns in Service-Oriented Applications based on pervasive design patterns. In 2010 Web Technology Track (WT) - ACM Symposium on Applied computing (SAC), pages 849--853. ACM, 2010.
[12]
J. M. Rodriguez, M. Crasso, A. Zunino, and M. Campo. Automatically detecting opportunities for Web Service descriptions improvement. In Software Services for e-World, IFIP Advances in Information and Communication Technology, pages 139--150. Springer, 2010.
[13]
J. M. Rodriguez, M. Crasso, A. Zunino, and M. Campo. Improving Web Service descriptions for effective service discovery. Science of Computer Programming, 75(11): 1001--1021, 2010.
[14]
D. Spinellis. Tool writing: A forgotten art? IEEE Software, 22: 9--11, 2005.
[15]
S. Stigler. Fisher and the 5% level. Chance, 21: 12--12, 2008.
[16]
F. Tsui and O. Karam. Essentials of Software Engineering. Prentice Hall, 2006.
[17]
R. Van Engelen and K. Gallivan. The gsoap toolkit for Web Services and Peer-to-Peer computing networks. In 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, pages 128--135. IEEE, 2002.
Index Terms
- An approach to improve code-first web services discoverability at development time
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Published: 26 March 2012
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