Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser

Dumbach P, Aly A, Zrenner M, Eskofier B (2020)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Pages Range: 601 - 604

Conference Proceedings Title: Proceedings of the 13th International Conference on Educational Data Mining

Event location: Ifrane, Morocco (Fully Virtual Conference) MA

ISBN: 978-1-7336736-1-7

URI: https://educationaldatamining.org/files/conferences/EDM2020/EDM2020Proceedings.pdf

Open Access Link: https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_239.pdf

Abstract

The increasing complexity in software development leads to the necessity for a detailed data analysis. Literature illustrates a stronger research focus on Educational Process Mining (EPM) being applied to the fields of e-learning and professional training. In this work, the opportunities of Process Mining (PM) are further examined by the evaluation of software engineering (SE) courses. The methodology follows the five stages of the L* life cycle model for PM projects using data from software repositories. The event log data was analyzed with the PM tool Disco to examine the students’ work following an agile development process. The new tool GitLab Analyser supports supervisors to visualize educational processes and still extracts event logs for the further analysis and application of PM techniques. 

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APA:

Dumbach, P., Aly, A., Zrenner, M., & Eskofier, B. (2020). Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser. In Anna N. Rafferty, Jacob Whitehill, Cristobal Romero, Violetta Cavalli-Sforza (Eds.), Proceedings of the 13th International Conference on Educational Data Mining (pp. 601 - 604). Ifrane, Morocco (Fully Virtual Conference), MA.

MLA:

Dumbach, Philipp, et al. "Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser." Proceedings of the 13th International Conference on Educational Data Mining, Ifrane, Morocco (Fully Virtual Conference) Ed. Anna N. Rafferty, Jacob Whitehill, Cristobal Romero, Violetta Cavalli-Sforza, 2020. 601 - 604.

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