Publications / 2021 Proceedings of the 38th ISARC, Dubai, UAE

Logging modeling events to enhance the reproducibility of a modeling process

Suhyung Jang, Sanghyun Shin and Ghang Lee
Pages 256-263 (2021 Proceedings of the 38th ISARC, Dubai, UAE, ISBN 978-952-69524-1-3, ISSN 2413-5844)
Abstract:

This study was aimed at developing a building information modeling (BIM) process logger that can capture modeling process information as an event log file. BIM log mining is a research area that focuses on utilizing a massive amount of data created from BIM software usage. Several studies have monitored, analyzed, improved, and predicted modeling process based on BIM log mining. However, the BIM logs recorded using current BIM authoring tools do not offer explicit information about modeling commands and object-related parameters. The BIM logger proposed in the current work was developed using the application programming interface (API) of BIM authoring software to create an enhanced log file that can represent the modeling process. The reproducibility of the modeling process in the log file created using the developed logger was evaluated via quantitative and qualitative methods.

Keywords: Building Information Modeling (BIM); BIM Log Mining; Modeling Process; Representation; Data Enhancement