Improving Web Service Discovery with Usage Data
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Web service discovery is a difficult and challenging activity that makes the development of service-based applications a time-consuming and still not widely practiced process. Descriptions of publicly available services are scarce and their quality isn't guaranteed. This article presents a recommendation system to help developers of service-based applications discover and select appropriate services. Given a task description, the system recommends service operations according to the history of decisions previously made for similar objectives. The system is developed using IC-Service, a domain-independent recommendation Web service based on the implicit culture theory of service developers. IC-Service automatically collects information about service usage. Experimental results show that the system can learn from experience and achieve fair precision in its recommendations. This article is part of a special focus on service-centric software systems.
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Index Terms:
Web service discovery, recommendation systems, development of service-oriented systems
Citation:
Aliaksandr Birukou, Enrico Blanzieri, Vincenzo D'Andrea, Paolo Giorgini, Natallia Kokash, "Improving Web Service Discovery with Usage Data," IEEE Software, vol. 24, no. 6, pp. 47-54, Nov./Dec. 2007, doi:10.1109/MS.2007.169
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