Mining Projects from Structured and Unstructured Data

Bala, Saimir (2017) Mining Projects from Structured and Unstructured Data. CEUR Workshop Proceedings, 1859. pp. 133-137. ISSN 1613-0073


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Companies working on safety-critical projects must adhere to strict rules imposed by the domain, especially when human safety is involved. These projects need to be compliant to standard norms and regulations. Thus, all the process steps must be clearly documented in order to be verifiable for compliance in a later stage by an auditor. Nevertheless, documentation often comes in the form of manually written textual documents in different formats. Moreover, the project members use diverse proprietary tools. This makes it difficult for auditors to understand how the actual project was conducted. My research addresses the project mining problem by exploiting logs from project-generated artifacts, which come from software repositories used by the project team.

Item Type: Article
Additional Information: This work has been funded by the Austrian Research Promotion Agency (FFG) under grant 845638 (SHAPE). Joint Proceedings of the Radar tracks at the 18th International Working Conference on Business Process Modeling, Development and Support (BPMDS), and the 22nd International Working Conference on Evaluation and Modeling Methods for Systems Analysis and Development (EMMSAD), and the 8th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA) co-located with the 29th International Conference on Advanced Information Systems Engineering 2017 (CAiSE 2017) Essen, Germany, June 12-13, 2017. Copyright © 2017 for the individual papers by the papers' authors.
Keywords: Project-Oriented Business Processes; Software Projects; Process Mining
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Mendling
Version of the Document: Draft
Variance from Published Version: Typographical
Depositing User: Saimir Bala
Date Deposited: 11 Oct 2019 07:30
Last Modified: 22 Oct 2019 09:32


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