Artifact-Based Transformation of IBM Global Financing

Tian, Chao; Cohn, David L.; Flatgard, Adrian; Hahn, Sandy; Linehan, Mark; Nandi, Prabir; Nigam, Anil; Pinel, Florian; Vergo, John; Wu, Frederick Y.

doi:10.1007/978-3-642-03848-8_18

Cited by 56 publications

(27 citation statements)

References 5 publications

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“…BizArtifact comprises both modeling and execution environments, thereby scoring full support for criteria "D21-Design" and "D22-Implementation and Execution," respectively. The Artifact-centric Approach was applied during an extensive case study in the finance sector ( [11], cf. Criterion D24).…”

Section: Applying the Framework To The Artifact-centric Approachmentioning

confidence: 99%

DALEC: a framework for the systematic evaluation of data-centric approaches to process management software

et al. 2018

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The increasing importance of data in business processes has led to the emergence of data-centric business process management, which deviates from the widely used activity-centric paradigm. Data-centric approaches set their focus on data, aiming at supporting data-intensive business processes and increased process flexibility. The objective of this article is to gain profound insights into the maturity of different data-centric approaches as well as their capabilities. In particular, this article will provide a framework for systematically evaluating and comparing data-centric approaches, with regard to the phases of the business process lifecycle. To this end, a systematic literature review (SLR) was conducted with the goal of evaluating the capabilities of data-centric process management approaches. The SLR comprises 38 primary studies which were thoroughly analyzed. The studies were categorized into different approaches, whose capabilities were thoroughly assessed. Special focus was put on the tooling and software of the approaches. The article provides the empirically grounded DALEC framework to evaluate and compare data-centric approaches. Furthermore, the results of the SLR offer insights into existing data-centric approaches and their capabilities. Data-centric approaches promise better support of loosely structured and data-intensive business processes, which may not be adequately represented by activity-centric paradigms.

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Section: Applying the Framework To The Artifact-centric Approachmentioning

confidence: 99%

DALEC: a framework for the systematic evaluation of data-centric approaches to process management software

et al. 2018

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“…Business artifacts (or simply "artifacts") model key business-relevant entities, which are updated by a set of services that implement business process tasks. This modeling approach has been successfully deployed in practice [4,3,9,14,39]. In particular, the Guard-Stage-Milestone (GSM) approach [12,23] to artifact specification uses declarative services with pre-and post-conditions, parallelism, and hierarchy.…”

Section: Introductionmentioning

confidence: 99%

Process-centric views of data-driven business artifacts

Koutsos

Vianu

2017

Journal of Computer and System Sciences

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Declarative, data-aware workflow models are becoming increasingly pervasive. While these have numerous benefits, classical process-centric specifications retain certain advantages. Workflow designers are used to development tools such as BPMN or UML diagrams, that focus on control flow. Views describing valid sequences of tasks are also useful to provide stake-holders with highlevel descriptions of the workflow, stripped of the accompanying data. In this paper we study the problem of recovering process-centric views from declarative, data-aware workflow specifications in a variant of IBM's business artifact model. We focus on the simplest and most natural processcentric views, specified by finite-state transition systems, and describing regular languages. The results characterize when process-centric views of artifact systems are regular, using both linear and branching-time semantics. We also study the impact of data dependencies on regularity of the views.

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“…A collection of artifacts and services is called an artifact system. This modeling approach has been successfully deployed in practice [7,6,21,27,73], and has been adopted in the OMG standard for Case Management [9].…”

Section: Introductionmentioning

confidence: 99%