Discovering behavioural interfaces for overloaded web services

Wei, Fuguo, Barros, Alistair, & Ouyang, Chun (2015) Discovering behavioural interfaces for overloaded web services. In 2015 IEEE World Congress of Services (SERVICES), IEEE, New York City, NY, pp. 286-293.

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Abstract

The growth of APIs and Web services on the Internet, especially through larger enterprise systems increasingly being leveraged for Cloud and software-as-a-service opportuni- ties, poses challenges to improving the efficiency of integration with these services. Interfaces of enterprise systems are typically larger, more complex and overloaded, with single operation having multiple data entities and parameter sets, supporting varying requests, and reflecting versioning across different system releases, compared to fine-grained operations of contemporary interfaces. We propose a technique to support the refactoring of service interfaces by deriving business entities and their relationships. In this paper, we focus on the behavioural aspects of service interfaces, aiming to discover the sequential dependencies of operations (otherwise known as protocol extraction) based on the entities and relationships derived. Specifically, we propose heuristics according to these relationships, and in turn, deriving permissible orders in which operations are invoked. As a result of this, service operations can be refactored on business entity CRUD lines, with explicit behavioural protocols as part of an interface definition. This supports flexible service discovery, composition and integration. A prototypical implementation and analysis of existing Web services, including those of commercial logistic systems (Fedex), are used to validate the algorithms proposed through the paper.

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ID Code: 91739
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: web service, business entity, service interface synthesis, service interaction
DOI: 10.1109/SERVICES.2015.50
ISBN: 9781467372749
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
  • SMART SERVICE CRC/NOID
  • ARC DISCOVERY GRANT/DP140103788
Copyright Owner: Copyright 2015 IEEE
Deposited On: 12 Jan 2016 01:19
Last Modified: 16 Jan 2016 17:16

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