Abstract
As the virtual mirror of complex real-time business processes of organisations’ underlying information systems, the workflow management system (WfMS) has emerged in recent decades as a new self-autonomous paradigm in the open, dynamic, distributed computing environment. In order to construct a trustworthy workflow management system (TWfMS), the design of a software behaviour trustworthiness measurement algorithm is an urgent task for researchers. Accompanying the trustworthiness mechanism, the measurement algorithm, with uncertain software behaviour trustworthiness information of the WfMS, should be resolved as an infrastructure. Based on the framework presented in our research prior to this paper, we firstly introduce a formal model for the WfMS trustworthiness measurement, with the main property reasoning based on calculus operators. Secondly, this paper proposes a novel measurement algorithm from the software behaviour entropy of calculus operators through the principle of maximum entropy (POME) and the data mining method. Thirdly, the trustworthiness measurement algorithm for incomplete software behaviour tests and runtime information is discussed and compared by means of a detailed explanation. Finally, we provide conclusions and discuss certain future research areas of the TWfMS.
Highlights
The workflow management system (WfMS) is considered a multidisciplinary system-of-systems (SoS)-oriented software under the modern IT background of cloud computing, internet of things (IoT), big data, and advanced technologies for the future
In order to address the measurement problem of WfMS trustworthiness, based on prior research [17,18,19,20,21], this paper has proposed a novel algorithm for WfMS trustworthiness based on the trustworthy workflow management system (TWfMS) framework mechanisms in an uncertain environment with incomplete software behaviour test cases, which means that the deterministic entropy of services or its underlying software behaviour is partial
Similar to business process management (BPM), we can consider the entire WfMS lifecycle as a group of long-term processes, which we categorise into three aspects: the ‘as-is process’ in the build-time stage, the ‘to-be process’ in the runtime stage, and the ‘agile-consistent process’ in maintenance time
Summary
The workflow management system (WfMS) is considered a multidisciplinary system-of-systems (SoS)-oriented software under the modern IT background of cloud computing, internet of things (IoT), big data, and advanced technologies for the future. Similar to real-time systems, a WfMS requires online adjustment to accommodate random changes occurring in its surroundings or software architecture under human control strategies, which may affect its functionalities or non-functionalities and transaction data consistence—and even its trustworthiness level. Addressing course timetabling problems [1] from the case-based reasoning (CBR) system viewpoint, to adapt to the limited classroom capacity for the ever-increasing number of students, the CBR system may change the venue to a new classroom with larger capacity to prevent basic teaching functionality from being interrupted. To adapt to enable more effective teaching, the CBR system may adjust the venue to a new classroom that better suits the preference of the teacher and students to optimise the potential teaching non-functionality. The remainder of this paper consists of three sections: Section 2 discusses the related work on measurement methods regarding the WfMS; Section 3 illustrates the novel measurement algorithm from two perspectives, namely the calculus implemented on the WfMS and the normal forms of the WfMS; and Section 4 discusses the proposed algorithm and summarises future research areas
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
