Logging Modeling Events to Enhance the Reproducibility of a Modeling Process

Suhyung Jang, Sanghyun Shin, Ghang Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021
EditorsChen Feng, Thomas Linner, Ioannis Brilakis
PublisherInternational Association for Automation and Robotics in Construction (IAARC)
Pages256-263
Number of pages8
ISBN (Electronic)9789526952413
Publication statusPublished - 2021
Event38th International Symposium on Automation and Robotics in Construction, ISARC 2021 - Dubai, United Arab Emirates
Duration: 2021 Nov 22021 Nov 4

Publication series

NameProceedings of the International Symposium on Automation and Robotics in Construction
Volume2021-November
ISSN (Electronic)2413-5844

Conference

Conference38th International Symposium on Automation and Robotics in Construction, ISARC 2021
Country/TerritoryUnited Arab Emirates
CityDubai
Period21/11/221/11/4

Bibliographical note

Publisher Copyright:
© 2021 Proceedings of the International Symposium on Automation and Robotics in Construction. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Civil and Structural Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Science Applications

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