Workflow

About: Workflow is a research topic. Over the lifetime, 31996 publications have been published within this topic receiving 498339 citations.

Programming interface for a componentized and extensible workflow model

Abstract: Building a componentized workflow model via an application programming interface. Each step of the workflow is modeled as an activity that has metadata to describe design time aspects, compile time aspects, and runtime aspects of the workflow step. A user selects and arranges the activities to create the workflow via the application programming interfaces. The metadata associated with each of the activities in the workflow is collected to create a persistent representation of the workflow. Users extend the workflow model by authoring custom activities. Users also compile the workflow via the application programming interface.

Business Process Management Architectures

Abstract: BPM architectures are in the centre of Chapter 7, starting from the WfMC Architecture and proceeding towards service oriented architectures and architectures for flexible workflow management. In particular, an architecture that allows to dynamically modify running workflow instances based on an object-oriented approach is introduced. Web services and their composition are sketched, describing the core concepts of the XML-based service composition language WS-BPEL. Advanced service composition based on semantic concepts are sketched, and case handling is introduced as a technique for flexible process enactment based on data dependencies rather than process structures.

Construction with digital twin information systems

Abstract: The concept of a “digital twin” as a model for data-driven management and control of physical systems has emerged over the past decade in the domains of manufacturing, production, and operations. In the context of buildings and civil infrastructure, the notion of a digital twin remains ill-defined, with little or no consensus among researchers and practitioners of the ways in which digital twin processes and data-centric technologies can support design and construction. This paper builds on existing concepts of Building Information Modeling (BIM), lean project production systems, automated data acquisition from construction sites and supply chains, and artificial intelligence to formulate a mode of construction that applies digital twin information systems to achieve closed loop control systems. It contributes a set of four core information and control concepts for digital twin construction (DTC), which define the dimensions of the conceptual space for the information used in DTC workflows. Working from the core concepts, we propose a DTC information system workflow—including information stores, information processing functions, and monitoring technologies—according to three concentric control workflow cycles. DTC should be viewed as a comprehensive mode of construction that prioritizes closing the control loops rather than an extension of BIM tools integrated with sensing and monitoring technologies.

Software Development Environments for Scientific and Engineering Software: A Series of Case Studies

Abstract: The need for high performance computing applications for computational science and engineering projects is growing rapidly, yet there have been few detailed studies of the software engineering process used for these applications. The DARPA High Productivity Computing Systems Program has sponsored a series of case studies of representative computational science and engineering projects to identify the steps involved in developing such applications (i.e. the life cycle, the workflows, technical challenges, and organizational challenges). Secondary goals were to characterize tool usage and identify enhancements that would increase the programmers' productivity. Finally, these studies were designed to develop a set of lessons learned that can be transferred to the general computational science and engineering community to improve the software engineering process used for their applications. Nine lessons learned from five representative projects are presented, along with their software engineering implications, to provide insight into the software development environments in this domain.