Work place: Hacettepe University, Computer Engineering Department, 06800, Ankara, Turkey
E-mail: tugba@cs.hacettepe.edu.tr
Website:
Research Interests: Software Construction, Software Development Process, Software Engineering
Biography
Tugba Gurgen Erdogan has been working as a researcher and practitioner in the area of software engineering and process mining for ten years. She received her Ph.D. degree from the Department of Computer Engineering, Hacettepe University, in 2018, where she received her B.Sc. and M.Sc. degrees and works as a lecturer in the same department. Her research interests include software process improvement, empirical software engineering, software development methodologies, process mining in healthcare, data privacy, and machine learning. During her academic affiliations and research collaborations, she has supervised many graduate students' studies in their M.Sc. and included and led to academic national and international projects, outputs of which have been published in various journals and conference proceedings.
By Cuma Ali Kesici Necmettin Ozkan Sedat Taskesenlioglu Tugba Gurgen Erdogan
DOI: https://doi.org/10.5815/ijitcs.2022.05.01, Pub. Date: 8 Oct. 2022
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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