Service Discovery Method for Agile Mashup Development

Abstract

With the rapid expansion of services on the Internet, Mashup development has become a trend toward mainstream development. How to efficiently and quickly discover available services in Mashup development and make full use of existing services to meet the changing needs of users has become a new concern. Although there are a lot of work for service discovery, there are still some problems in the existing methods, such as limiting the service description to a single structured document, limiting the service search statement to keywords, and rarely mining the deeper semantics of the service text. information. In view of the above problems, this paper proposes the Service Discovery approach for Agile Mashup Development (SDAMD), which breaks the limitation of the single document and drives the user story in agile development as a service search. The original text, through the natural language processing technology, extracts the three elements of agile requirements, and then extracts the three service attributes of the agile service; then finds and recommends similar services by calculating the similarity between the service description and the search text. This article uses the real data of the services on the Programmable Web to verify the validity of SDAMD.