Test case prioritization for regression testing of service-oriented business applications
Proceedings of the 18th international conference on World wide web
An Efficient Approach to Web Service Selection
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Combining Quality of Service and Social Information for Ranking Services
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Using chemical reactions to model service composition
Proceedings of the second international workshop on Self-organizing architectures
XML-manipulating test case prioritization for XML-manipulating services
Journal of Systems and Software
Indeterminacy-aware service selection for reliable service composition
Frontiers of Computer Science in China
Research on Web service selection based on cooperative evolution
Expert Systems with Applications: An International Journal
Architectures & infrastructure
Service research challenges and solutions for the future internet
QoS driven dynamic binding in-the-many
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
A monitoring mechanism to support agility in service-based application evolution
ACM SIGSOFT Software Engineering Notes
A decision-making method for personalized composite service
Expert Systems with Applications: An International Journal
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In service computing, the behavior of a service may evolve. When an organization develops a service-oriented application in which certain services are provided by external partners, the organization should address the problem of uninformed behavior evolution of external services. This paper proposes an adaptive framework that bars problematic external services to be used in the service-oriented application of an organization. We use dynamic WSDL information in public service registries to approximate a snapshot of a network of services, and apply link analysis on the snapshot to identify services that are popularly used by different service consumers at the moment. As such, service composition can be strategically formed using the highly referenced services. We evaluate our proposal through a simulation study. The results show that, in terms of the number of failures experienced by service consumers, our proposal significantly outperforms the random approach in selecting reliable services to form service compositions.