Output details
15 - General Engineering
Bournemouth University
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Output 0 of 0 in the submission
Article title
Advanced quality prediction model for software architectural knowledge sharing
Type
D - Journal article
Title of journal
Journal of Systems and Software
Article number
-
Volume number
84
Issue number
5
First page of article
786
ISSN of journal
01641212
Year of publication
2011
URL
-
Number of additional authors
4
Additional information
This paper provides a prediction model for software architectural knowledge sharing which has been validated by four real world cases. It led to a collaboration between Bournemouth University and State Key Lab on Software Engineering, Wuhan University (China) which resulted in grant funding from the Natural Science Foundation of China for the project ‘ESSENTIAL: Enterprise Service deSign based on ExistiNg software Architectural knowLedge’ (Dr Peng Liang, £20k, grant ref: 61150110484 (http://www.nsfc.gov.cn/Portal0/InfoModule_396/35652.htm)).
Interdisciplinary
-
Cross-referral requested
11 - Computer Science and Informatics
Research group
1 - Software Systems and Creative Technology
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-