4.7 Article

Collaborative Business Process Fault Resolution in the Services Cloud

Journal

IEEE TRANSACTIONS ON SERVICES COMPUTING
Volume 16, Issue 1, Pages 162-176

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TSC.2021.3112525

Keywords

Location awareness; Web services; Fault diagnosis; Maintenance engineering; Testing; Debugging; Collaboration; Fault resolution; business processes; web services

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This article presents an approach based on association analysis to resolve faults in a user developed BP by utilizing information from existing fault-free BPs that use similar services. Extensive experimental evaluation shows the effectiveness of this approach.
The emergence of cloud and edge computing has enabled rapid development and deployment of Internet-centric distributed applications. There are many platforms and tools that can facilitate users to develop distributed business process (BP) applications by composing relevant service components in a plug and play manner. However, there is no guarantee that a BP application developed in this way is fault-free. In this article, we formalize the problem of collaborative BP fault resolution which aims to utilize information from existing fault-free BPs that use similar services to resolve faults in a user developed BP. We present an approach based on association analysis of pairwise transformations between a faulty BP and existing BPs to identify the smallest possible set of transformations to resolve the fault(s) in the user developed BP. An extensive experimental evaluation over both synthetically generated faulty BPs and real BPs developed by users shows the effectiveness of our approach.

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