A Survey on Approaches to Modeling Artifact-Centric Business Processes

2020

IEEE Access

Proactive adaptation of business processes can prevent and mitigate future problems during the execution of business processes. For the proactive adaptation of business processes, adaptation decisions should be made based on whether a business process instance is heading to a business goal. Recently, much work struggles to improve predictive business process monitoring efficiency, i.e., accuracy and prediction earliness. As such, process designers can find more necessary adaptations and have more remaining time for the adaptations. Almost all of these previous efforts concentrate on business-related data generated by business processes. However, besides business-related data, context data has a huge impact on how a business process instance is unfolding to its completion. Context data should be noticed in the area of predictive business process monitoring. To remedy this shortage, in this paper, we propose a predictive business process monitoring framework based on a joint of business-related data and context data to predict incompliance with business goals. We evaluated the framework concerning the me asures of accuracy, prediction earliness, and cost time based on a real-life online banana purchase process.

Section: A Experimental Setupmentioning

confidence: 99%

Prediction of Incompliance With Business Goals With Business-Related Data and Context Data

2020

IEEE Access

“…Sun et al propose a declarative choreography language for artifacts in both type and instance level. A survey on approaches to modeling artifact‐centric business process is given in the work of Kunchala et al The formal analysis of artifact‐centric business process models is further studied in the works of Bhattacharya et al There are also some other works that extend the artifact‐centric approach like the work of Yongchareon et al In another work by Yongchareon et al, the process specialization for artifact‐centric process models is studied. The authors provide formal analysis of behavioral consistency between a specialized process and its base process.…”

Section: Related Workmentioning

confidence: 99%

Toward configurable modeling for artifact‐centric business processes

Kang

Long

Concurrency and Computation

2019

Summary There are usually process model variants for a business as its application and evolution. Configurable process modeling is an effective approach for the design and development of business process models by reuse. However, the existing configurable process modeling approaches focus on traditional activity‐centric business processes, which is unfeasible for the new modeling paradigm of artifact‐centric business processes. To solve the problem, we propose a configurable modeling framework, especially for artifact‐centric business processes. To derive the integrated model for multiple process model variants, we propose a merger operation for artifact‐centric process model variants. We get a configurable artifact‐centric process model by identifying configurable points in the integrated model by common and variable characteristics. Moreover, the associated configuration alternatives are set accordingly for configurable points, in which the property of data privacy is considered. New artifact‐centric process models can be derived by configuration based on the behavior of a configurable model. To facilitate the process configuration, guidelines are analyzed based on the notion of process element relation graph. A case study is conducted to illustrate the effectiveness of our approach with a real‐world business process developed for Real Estate Administration (REA) in Hangzhou, China.

“…Artefact‐centric business processes support a higher level of dynamic for its execution is declaratively defined by artefacts, services, and business rules [6]. The artefact‐centric business process modelling approach is promising and has attracted enormous attention during the past sesqui‐decade [7]. Although dynamic nature is naturally supported by artefact‐centric business processes, it is still a challenging problem to preserve the correctness of changes of an artefact‐centric business process instance.…”

Section: Introductionmentioning

confidence: 99%

Changes in artefact‐centric business process instances and their correctness prediction

2020

IET softw.

Change of artefact‐centric business process instances is important for an enterprise to keep competitive. However, to preserve the correctness of changes of an artefact‐centric business process instance is still a big challenge. The hardness mainly stems from the fact that whether a business process instance can reach a final state has been proved to be undecidable. As such, finding a reliable verification algorithm for preserving correctness becomes impossible. In this study, the authors propose a random‐forest‐based approach to predict the correctness of changes in a business process instance. The availability of the proposed method is validated by comparing it to the traditional formal verification method. They also propose two optimisations of the proposed method and validate their effectiveness through extensive experimental analysis.