By Topic

Version management and conflict detection across heterogeneous engineering data models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Waltersdorfer, F. ; Christian Doppler Lab. for Software Eng. Integration for Flexible Autom. Syst., Vienna Univ. of Technol., Vienna, Austria ; Moser, T. ; Zoitl, A. ; Biffl, S.

Automation systems engineering projects depend on contributions from several engineering disciplines. These contributions consist of complex artifacts like mechanical, electrical, and software components and plans, which get updated concurrently. While there are version management features in the software tools for each individual engineering discipline, there is very little work on version management across semantically heterogeneous data models in engineering tools and projects. In this paper, we introduce the Engineering Database (EDB) concept, which provides foundations for version management and update conflict detection in engineering data models across tool boundaries. We evaluate the concept based on a real-world use case for signal engineering at a hydro power plant systems integrator. Major result is that the parsing of proprietary engineering tool data exports can be generalized and the mappings between engineering tools can be simplified.

Published in:

Industrial Informatics (INDIN), 2010 8th IEEE International Conference on

Date of Conference:

13-16 July 2010