Process mining for artifact-centric blockchain applications

Leyla Moctar M'Baba; Nour Assy; Mohamed Sellami; Walid Gaaloul; Mohamedade Farouk Nanne

doi:10.1016/j.simpat.2023.102779

Process mining for artifact-centric blockchain applications

Leyla Moctar M'Baba
, Nour Assy
, Mohamed Sellami
, Walid Gaaloul
, Mohamedade Farouk Nanne

Research output: Contribution to journal › Article › peer-review

Abstract

Process mining can provide valuable insights into user behavior, performance, and security for blockchain applications. In return, process mining benefits from the trustworthiness of blockchain data. One obstacle to realizing these benefits is that blockchain data is inadequate for process mining. This issue has been previously explored in literature, but mainly with regards to workflow-centric processes, leaving out the more common artifact-centric applications. This article introduces ACEL (Artifact-Centric Event Log), an extension to the OCEL (Object-Centric Event Log) standard, specifically designed for artifact-centric processes. Additionally, we present a method for extracting ACEL logs from the Ethereum blockchain platform and demonstrate its effectiveness and the perspectives of process discovery through two case studies of public Ethereum applications.

Original language	English
Article number	102779
Journal	Simulation Modelling Practice and Theory
Volume	127
DOIs	https://doi.org/10.1016/j.simpat.2023.102779
Publication status	Published - 1 Sept 2023

Keywords

Artifact-centric processes
Blockchain
Process mining

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10.1016/j.simpat.2023.102779

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title = "Process mining for artifact-centric blockchain applications",

abstract = "Process mining can provide valuable insights into user behavior, performance, and security for blockchain applications. In return, process mining benefits from the trustworthiness of blockchain data. One obstacle to realizing these benefits is that blockchain data is inadequate for process mining. This issue has been previously explored in literature, but mainly with regards to workflow-centric processes, leaving out the more common artifact-centric applications. This article introduces ACEL (Artifact-Centric Event Log), an extension to the OCEL (Object-Centric Event Log) standard, specifically designed for artifact-centric processes. Additionally, we present a method for extracting ACEL logs from the Ethereum blockchain platform and demonstrate its effectiveness and the perspectives of process discovery through two case studies of public Ethereum applications.",

keywords = "Artifact-centric processes, Blockchain, Process mining",

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year = "2023",

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doi = "10.1016/j.simpat.2023.102779",

language = "English",

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AU - Assy, Nour

AU - Sellami, Mohamed

AU - Gaaloul, Walid

AU - Farouk Nanne, Mohamedade

PY - 2023/9/1

Y1 - 2023/9/1

N2 - Process mining can provide valuable insights into user behavior, performance, and security for blockchain applications. In return, process mining benefits from the trustworthiness of blockchain data. One obstacle to realizing these benefits is that blockchain data is inadequate for process mining. This issue has been previously explored in literature, but mainly with regards to workflow-centric processes, leaving out the more common artifact-centric applications. This article introduces ACEL (Artifact-Centric Event Log), an extension to the OCEL (Object-Centric Event Log) standard, specifically designed for artifact-centric processes. Additionally, we present a method for extracting ACEL logs from the Ethereum blockchain platform and demonstrate its effectiveness and the perspectives of process discovery through two case studies of public Ethereum applications.

AB - Process mining can provide valuable insights into user behavior, performance, and security for blockchain applications. In return, process mining benefits from the trustworthiness of blockchain data. One obstacle to realizing these benefits is that blockchain data is inadequate for process mining. This issue has been previously explored in literature, but mainly with regards to workflow-centric processes, leaving out the more common artifact-centric applications. This article introduces ACEL (Artifact-Centric Event Log), an extension to the OCEL (Object-Centric Event Log) standard, specifically designed for artifact-centric processes. Additionally, we present a method for extracting ACEL logs from the Ethereum blockchain platform and demonstrate its effectiveness and the perspectives of process discovery through two case studies of public Ethereum applications.

KW - Artifact-centric processes

KW - Blockchain

KW - Process mining

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DO - 10.1016/j.simpat.2023.102779

M3 - Article

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SN - 1569-190X

VL - 127

JO - Simulation Modelling Practice and Theory

JF - Simulation Modelling Practice and Theory

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ER -

Process mining for artifact-centric blockchain applications

Abstract

Keywords

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