Blockchain logging for process mining: a systematic review

Leyla Moctar M'Baba (1, 2, 3, 4) , Mohamed Sellami (1, 2, 3) , Walid Gaaloul (1, 2, 3) , Mohamedade Farouk Nanne (4)

1 IP Paris - Institut Polytechnique de Paris
2 TSP - INF - Département Informatique
3 ACMES-SAMOVAR - Architecture, Cloud continuum, formal Models, artificial intElligence and Services in distributed computing
4 UNA - Université de Nouakchott Al-Aasriya

Considerable progress was forcasted for collaborative business processes with the rise of blockchain programmable platforms. One of the saliant promises was auditable traces of business process execution, but practically that has posed challenges specially with regard to blockchain logs’ structure who turned out to be inadequate for process mining techniques. Approaches to answer this issue have started to emerge in the literature, some focusing on the creation process of event logs and others dealing with their retrieval from the blockchain. This work outlines the generic steps required to solve these challenges and analyzes findings in these approaches with a consideration for efficiency and future research directions.

Domaines: Informatique [cs]

Leyla Moctar M'Baba, Mohamed Sellami, Walid Gaaloul, Mohamedade Farouk Nanne. Blockchain logging for process mining: a systematic review. HICSS 2022: 55th Hawaii International Conference on System Sciences, Jan 2022, Hawaii, United States. pp.6197-6206, ⟨10.24251/HICSS.2022.751⟩. ⟨hal-03631633⟩