DocumentCode
2982887
Title
Architecture analysis tools to support evolution of large industrial systems
Author
Rötschke, Tobias ; Krikhaar, René
Author_Institution
Tech. Univ. Darmstadt, Germany
fYear
2002
fDate
2002
Firstpage
182
Lastpage
191
Abstract
This paper describes an architecture analysis tool-set supporting evolutionary improvement of the software architecture of an existing medical imaging system. The toolset has been developed with co-operation between Philips Research and Philips Medical Systems. The medical imaging system is a large and software intensive system. Improvements to its architecture will lead to many development and business benefits, provided the improvements can be made efficiently and without major disruptions. The major challenge in supporting these improvements was finding a technical solution that fits well with the organization and processes of the development department. We came up with an approach that enables the migration to be performed in small increments and in line with existing processes and procedures established to meet requirements for patient safety and other qualities. Our tools provide relevant information about the current status and recent trends in software architecture, allowing software architects and engineers to monitor the progress of the migration and to identify potential problems as early as possible.
Keywords
medical image processing; software architecture; software maintenance; software tools; systems re-engineering; Philips Medical Systems; Philips Research; architecture analysis tools; evolutionary improvement; large industrial system evolution; medical imaging system; migration; patient safety; software architecture; Biomedical engineering; Biomedical imaging; Biomedical monitoring; Computer architecture; Image analysis; Patient monitoring; Safety; Software architecture; Software systems; Software tools;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Maintenance, 2002. Proceedings. International Conference on
ISSN
1063-6773
Print_ISBN
0-7695-1819-2
Type
conf
DOI
10.1109/ICSM.2002.1167765
Filename
1167765
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