DocumentCode
3332749
Title
Assessing the Architectonics of Large, Software-Intensive Systems Using a Knowledge-Based Approach
Author
Del Rosso, Christian ; Maccari, Alessandro
Author_Institution
Nokia Res. Center, Tampere
fYear
2007
fDate
6-9 Jan. 2007
Firstpage
2
Lastpage
2
Abstract
This paper presents an assessment case study on the evolutionary capability of a large software system using a knowledge-based approach. The knowledge-based assessment is based on interviews with selected stakeholders of a software system. We have used this to assess the capability of the software architecture to evolve in one large Nokia software system. We have found that this approach proves to be effective in large organizations where development teams are distributed in different time-zones, with cultural differences and with limited person-to person communication. The lessons learned and the advantages of using this approach are presented.
Keywords
knowledge based systems; software architecture; Nokia software system; knowledge-based assessment; software-intensive systems; Computer architecture; Costs; Cultural differences; Documentation; Mission critical systems; Natural languages; Software architecture; Software performance; Software systems; Unified modeling language;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Architecture, 2007. WICSA '07. The Working IEEE/IFIP Conference on
Conference_Location
Mumbai
Electronic_ISBN
0-7695-2744-2
Type
conf
DOI
10.1109/WICSA.2007.17
Filename
4077019
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