A Systematic Literature Review of Studies Comparing Process Mining Tools

A Systematic Literature Review of Studies Comparing Process Mining Tools

Автор: Cuma Ali Kesici, Necmettin Ozkan, Sedat Taskesenlioglu, Tugba Gurgen Erdogan

Журнал: International Journal of Information Technology and Computer Science @ijitcs

Статья в выпуске: 5 Vol. 14, 2022 года.

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Process Mining (PM) and PM tool abilities play a significant role in meeting the needs of organizations in terms of getting benefits from their processes and event data, especially in this digital era. The success of PM initiatives in producing effective and efficient outputs and outcomes that organizations desire is largely dependent on the capabilities of the PM tools. This importance of the tools makes the selection of them for a specific context critical. In the selection process of appropriate tools, a comparison of them can lead organizations to an effective result. In order to meet this need and to give insight to both practitioners and researchers, in our study, we systematically reviewed the literature and elicited the papers that compare PM tools, yielding comprehensive results through a comparison of available PM tools. It specifically delivers tools’ comparison frequency, methods and criteria used to compare them, strengths and weaknesses of the compared tools for the selection of appropriate PM tools, and findings related to the identified papers' trends and demographics. Although some articles conduct a comparison for the PM tools, there is a lack of literature reviews on the studies that compare PM tools in the market. As far as we know, this paper presents the first example of a review in literature in this regard.

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Process Mining, Disco, ProM, Celonis, Benchmarking

Короткий адрес: https://sciup.org/15018904

IDR: 15018904   |   DOI: 10.5815/ijitcs.2022.05.01

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