Dataset for Systematic Literature Review on Process Mining

This dataset contains detailed information from a Systematic Literature Review (SLR) on Process Mining, including bibliographic data, methodologies, and key findings from selected research papers.

This study presents a Systematic Literature Review (SLR) on Process Mining, aiming to analyze the evolution, trends, and challenges in the field. By applying a structured search strategy across multiple digital libraries, we identify, classify, and synthesize relevant research works. The study provides insights into methodologies, application domains, and emerging directions in process mining, offering a comprehensive overview for researchers and practitioners.

the repository contains the following files:

01_Target_String_Library.txt: lists the search strings used in digital libraries, ensuring a systematic and reproducible literature search.

02_Search_Query_dataset.xlsm: provides a comprehensive record of the studies retrieved from digital libraries, detailing which articles were selected for analysis and which were excluded based on predefined criteria. This dataset ensures transparency in the selection process and facilitates reproducibility in systematic literature reviews.

03_Groups_of_Primary_Studies.xlsm: categorizes independent studies in process mining, organizing them based on their authorship, title, year, and publication source. This classification ensures a structured overview of relevant research, facilitating the evaluation and comparison of contributions within the field.

04_Answer_QA.xlsm: presents a structured assessment of the methodological quality of selected studies, evaluating key criteria to determine their rigor, reliability, and applicability in process mining research.