Improving Business Process Resilience to Long-tailed Business Events via Low-code

Jingwei Zhu; Jun Peng; Liang Zhang; Linh Truong

doi:10.1109/ICWS55610.2022.00057

Improving Business Process Resilience to Long-tailed Business Events via Low-code

Jingwei Zhu, Jun Peng, Liang Zhang, Linh Truong

Fudan University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Scopus)

337 Downloads (Pure)

Abstract

Among different types of changes, a specific type named long-tailed change (LTC), induced by wide-spectrum and sporadic events (hereafter long-tailed business events (LBEs), poses fresh challenges to available change management solutions in business process management. The disorder in economic and social life caused by the competition of COVID-19 epidemics and countermeasures all over the world fully demonstrates the impact of this new change management problem. Based on the principle of separation of concerns, this paper proposes a systematic framework to solve the above problem. The solution consists of a low-code mechanism for process adaptation and business policy conformance. As a result, front-line practitioners can quickly react to changes by using a domain-specific language (DSL) while a corresponding verification of functional and non-functional attributes maintains compliance with business constraints. We validate the solution through a case study of an e-commerce scenario during the COVID-19 pandemic.

Original language	English
Title of host publication	2022 IEEE International Conference on Web Services (ICWS)
Editors	Claudio Agostino Ardagna, Nimanthi Atukorala, Boualem Benatallah, Athman Bouguettaya, Fabio Casati, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Chirine Ghedira Guegan, Robert Ward, Fatos Xhafa, Xiaofei Xu, Jia Zhang
Publisher	IEEE
Pages	343-348
Number of pages	6
ISBN (Electronic)	978-1-6654-8143-4
DOIs	https://doi.org/10.1109/ICWS55610.2022.00057
Publication status	Published - 16 Sept 2022
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Web Services - Barcelona, Spain Duration: 10 Jul 2022 → 16 Jul 2022

Conference

Conference	IEEE International Conference on Web Services
Abbreviated title	ICWS
Country/Territory	Spain
City	Barcelona
Period	10/07/2022 → 16/07/2022

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Zhu, J., Peng, J., Zhang, L., & Truong, L. (2022). Improving Business Process Resilience to Long-tailed Business Events via Low-code. In C. A. Ardagna, N. Atukorala, B. Benatallah, A. Bouguettaya, F. Casati, C. K. Chang, R. N. Chang, E. Damiani, C. G. Guegan, R. Ward, F. Xhafa, X. Xu, & J. Zhang (Eds.), 2022 IEEE International Conference on Web Services (ICWS) (pp. 343-348). IEEE. https://doi.org/10.1109/ICWS55610.2022.00057

Zhu, Jingwei ; Peng, Jun ; Zhang, Liang et al. / Improving Business Process Resilience to Long-tailed Business Events via Low-code. 2022 IEEE International Conference on Web Services (ICWS). editor / Claudio Agostino Ardagna ; Nimanthi Atukorala ; Boualem Benatallah ; Athman Bouguettaya ; Fabio Casati ; Carl K. Chang ; Rong N. Chang ; Ernesto Damiani ; Chirine Ghedira Guegan ; Robert Ward ; Fatos Xhafa ; Xiaofei Xu ; Jia Zhang. IEEE, 2022. pp. 343-348

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title = "Improving Business Process Resilience to Long-tailed Business Events via Low-code",

abstract = "Among different types of changes, a specific type named long-tailed change (LTC), induced by wide-spectrum and sporadic events (hereafter long-tailed business events (LBEs), poses fresh challenges to available change management solutions in business process management. The disorder in economic and social life caused by the competition of COVID-19 epidemics and countermeasures all over the world fully demonstrates the impact of this new change management problem. Based on the principle of separation of concerns, this paper proposes a systematic framework to solve the above problem. The solution consists of a low-code mechanism for process adaptation and business policy conformance. As a result, front-line practitioners can quickly react to changes by using a domain-specific language (DSL) while a corresponding verification of functional and non-functional attributes maintains compliance with business constraints. We validate the solution through a case study of an e-commerce scenario during the COVID-19 pandemic.",

author = "Jingwei Zhu and Jun Peng and Liang Zhang and Linh Truong",

year = "2022",

month = sep,

day = "16",

doi = "10.1109/ICWS55610.2022.00057",

language = "English",

pages = "343--348",

editor = "Ardagna, {Claudio Agostino} and Nimanthi Atukorala and Boualem Benatallah and Athman Bouguettaya and Fabio Casati and Chang, {Carl K.} and Chang, {Rong N.} and Ernesto Damiani and Guegan, {Chirine Ghedira} and Robert Ward and Fatos Xhafa and Xiaofei Xu and Jia Zhang",

booktitle = "2022 IEEE International Conference on Web Services (ICWS)",

publisher = "IEEE",

address = "United States",

note = "IEEE International Conference on Web Services, ICWS ; Conference date: 10-07-2022 Through 16-07-2022",

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Zhu, J, Peng, J, Zhang, L & Truong, L 2022, Improving Business Process Resilience to Long-tailed Business Events via Low-code. in CA Ardagna, N Atukorala, B Benatallah, A Bouguettaya, F Casati, CK Chang, RN Chang, E Damiani, CG Guegan, R Ward, F Xhafa, X Xu & J Zhang (eds), 2022 IEEE International Conference on Web Services (ICWS). IEEE, pp. 343-348, IEEE International Conference on Web Services, Barcelona, Spain, 10/07/2022. https://doi.org/10.1109/ICWS55610.2022.00057

Improving Business Process Resilience to Long-tailed Business Events via Low-code. / Zhu, Jingwei; Peng, Jun; Zhang, Liang et al.
2022 IEEE International Conference on Web Services (ICWS). ed. / Claudio Agostino Ardagna; Nimanthi Atukorala; Boualem Benatallah; Athman Bouguettaya; Fabio Casati; Carl K. Chang; Rong N. Chang; Ernesto Damiani; Chirine Ghedira Guegan; Robert Ward; Fatos Xhafa; Xiaofei Xu; Jia Zhang. IEEE, 2022. p. 343-348.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Improving Business Process Resilience to Long-tailed Business Events via Low-code

AU - Zhu, Jingwei

AU - Peng, Jun

AU - Zhang, Liang

AU - Truong, Linh

PY - 2022/9/16

Y1 - 2022/9/16

N2 - Among different types of changes, a specific type named long-tailed change (LTC), induced by wide-spectrum and sporadic events (hereafter long-tailed business events (LBEs), poses fresh challenges to available change management solutions in business process management. The disorder in economic and social life caused by the competition of COVID-19 epidemics and countermeasures all over the world fully demonstrates the impact of this new change management problem. Based on the principle of separation of concerns, this paper proposes a systematic framework to solve the above problem. The solution consists of a low-code mechanism for process adaptation and business policy conformance. As a result, front-line practitioners can quickly react to changes by using a domain-specific language (DSL) while a corresponding verification of functional and non-functional attributes maintains compliance with business constraints. We validate the solution through a case study of an e-commerce scenario during the COVID-19 pandemic.

AB - Among different types of changes, a specific type named long-tailed change (LTC), induced by wide-spectrum and sporadic events (hereafter long-tailed business events (LBEs), poses fresh challenges to available change management solutions in business process management. The disorder in economic and social life caused by the competition of COVID-19 epidemics and countermeasures all over the world fully demonstrates the impact of this new change management problem. Based on the principle of separation of concerns, this paper proposes a systematic framework to solve the above problem. The solution consists of a low-code mechanism for process adaptation and business policy conformance. As a result, front-line practitioners can quickly react to changes by using a domain-specific language (DSL) while a corresponding verification of functional and non-functional attributes maintains compliance with business constraints. We validate the solution through a case study of an e-commerce scenario during the COVID-19 pandemic.

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U2 - 10.1109/ICWS55610.2022.00057

DO - 10.1109/ICWS55610.2022.00057

M3 - Conference article in proceedings

SP - 343

EP - 348

BT - 2022 IEEE International Conference on Web Services (ICWS)

A2 - Ardagna, Claudio Agostino

A2 - Atukorala, Nimanthi

A2 - Benatallah, Boualem

A2 - Bouguettaya, Athman

A2 - Casati, Fabio

A2 - Chang, Carl K.

A2 - Chang, Rong N.

A2 - Damiani, Ernesto

A2 - Guegan, Chirine Ghedira

A2 - Ward, Robert

A2 - Xhafa, Fatos

A2 - Xu, Xiaofei

A2 - Zhang, Jia

PB - IEEE

T2 - IEEE International Conference on Web Services

Y2 - 10 July 2022 through 16 July 2022

ER -

Zhu J, Peng J, Zhang L, Truong L. Improving Business Process Resilience to Long-tailed Business Events via Low-code. In Ardagna CA, Atukorala N, Benatallah B, Bouguettaya A, Casati F, Chang CK, Chang RN, Damiani E, Guegan CG, Ward R, Xhafa F, Xu X, Zhang J, editors, 2022 IEEE International Conference on Web Services (ICWS). IEEE. 2022. p. 343-348 doi: 10.1109/ICWS55610.2022.00057

Improving Business Process Resilience to Long-tailed Business Events via Low-code

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