Business-Driven Process Fragment Selections in RESTful Business Processes

Abstract

Past work showed that runtime adaptability of business processes can be improved by applying Representational State Transfer (REST) to design and implementation of business processes. However, the existing solutions for RESTful business processes (RESTfulBP) were focused on manual selection of process fragments to be composed at runtime. In this paper, we propose solutions that enable semi-automatic selection of process fragment at each decision-making point of RESTfulBP. The new built-in middleware MiniZnMASC can provide user based process fragment advice to knowledge workers in ways that achieve better overall business value while satisfying all existing constraints. In addition, we redesign the architecture of RESTfulBP in order to allow the business-driven decision-making solutions. The solutions are evaluated for feasibility, functional correctness, business benefits, and performance.