NDLI: Efficient monitoring of multi-disciplinary engineering constraints with semantic data integration in the Multi-Model Dashboard process

Content Provider	IEEE Xplore Digital Library
Author	Biffl, S. Winkler, D. Mordinyi, R. Scheiber, S. Holl, G.
Copyright Year	2014
Description	Author affiliation: Inst. of Software Technol. & Interactive Syst., Vienna Univ. of Technol., Vienna, Austria (Biffl, S.; Winkler, D.; Mordinyi, R.; Scheiber, S.) \|\| CDL Automated Software Eng., Johannes Kepler Univ., Linz, Austria (Holl, G.)
Abstract	In a multi-disciplinary engineering project, such as the parallel engineering of industrial production plants, domain experts want to efficiently monitor project-level constraints that depend on technical parameter values in local engineering models. However, the heterogeneous representations of constraint parameters in these engineering models make the automation of constraint monitoring difficult. In this paper, we introduce the Multi-Model Dashboard (MMD) process providing semantically integrated values of parameters and of constraints to domain experts, as parameter values in various local models change during the project. The tool-supported MMD process guides the definition and monitoring of MMD parameters and constraints. We evaluate the effectiveness and efficiency of the MMD process in a feasibility study with requirements and data from real-world use cases at industry partners. Major results are that the MMD process was effective and efficient in eliciting relevant project constraints and model dependencies and in providing data for change impact analysis.
Starting Page	1
Ending Page	10
File Size	643208
Page Count	10
File Format	PDF
ISBN	9781479948451
DOI	10.1109/ETFA.2014.7005211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-16
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data models Monitoring Biological system modeling Risk management Context Semantics Industries Engineering Process Observation Software Engineering Methods in Automation Semantic Data Integration Change Impact Analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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