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

Jingwei Zhu, Jun Peng, Liang Zhang, Linh Truong

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)
295 Downloads (Pure)


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 languageEnglish
Title of host publication2022 IEEE International Conference on Web Services (ICWS)
EditorsClaudio 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
Number of pages6
ISBN (Electronic)978-1-6654-8143-4
Publication statusPublished - 16 Sept 2022
MoE publication typeA4 Conference publication
EventIEEE International Conference on Web Services - Barcelona, Spain
Duration: 10 Jul 202216 Jul 2022


ConferenceIEEE International Conference on Web Services
Abbreviated titleICWS


Dive into the research topics of 'Improving Business Process Resilience to Long-tailed Business Events via Low-code'. Together they form a unique fingerprint.

Cite this