A metamorphic testing approach for online testing of service-oriented software applications

Chan W.K., Cheung S.C. and Leung K.R.P. (2007) A metamorphic testing approach for online testing of service-oriented software applications. International Journal of Web Services Research, 4 2: 61-81.

Author Chan W.K.
Cheung S.C.
Leung K.R.P.
Title A metamorphic testing approach for online testing of service-oriented software applications
Journal name International Journal of Web Services Research   Check publisher's open access policy
ISSN 1545-7362
Publication date 2007-01-01
Sub-type Article (original research)
Open Access Status Not yet assessed
Volume 4
Issue 2
Start page 61
End page 81
Total pages 21
Subject 1705 Computer Networks and Communications
1712 Software
1710 Information Systems
Abstract Testing the correctness of services assures the functional quality of service-oriented applications. A service-oriented application may bind dynamically to its supportive services. For the same service interface, the supportive services may behave differently. A service may also need to realize a business strategy, like best pricing, relative to the behavior of its counterparts and the dynamic market situations. Many existing works ignore these issues to address the problem of identifying failures from test results. This article proposes a metamorphic approach for online services testing. The off-line testing determines a set of successful test cases to construct their corresponding follow-up test cases for the online testing. These test cases will be executed by metamorphic services that encapsulate the services under test as well as the implementations of metamorphic relations. Thus, any failure revealed by the metamorphic testing approach will be due to the failures in the online testing mode. An experiment is included. Copyright
Keyword Metamorphic testing
Online testing
Service-oriented architecture
Services testing
Test oracle problem
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
 
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Citation counts: TR Web of Science Citation Count  Cited 33 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 63 times in Scopus Article | Citations
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Created: Wed, 27 Nov 2013, 13:11:47 EST by System User