What will affect software reuse: a causal model analysis

Li, Gang and Dai, Honghua 2004, What will affect software reuse: a causal model analysis, International journal of software engineering and knowledge engineering, vol. 14, no. 3, pp. 351-364.

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Title What will affect software reuse: a causal model analysis
Author(s) Li, Gang
Dai, Honghua
Journal name International journal of software engineering and knowledge engineering
Volume number 14
Issue number 3
Start page 351
End page 364
Publisher World Scientific Publishing
Place of publication Singapore
Publication date 2004-06
ISSN 0218-1940
1793-6403
Keyword(s) software reuse
causal discovery
data mining
graphical model
computer science
Summary Software reuse is an important topic due to its potential benefits in increasing product quality and decreasing cost. Although more and more people are aware that not only technical issues, but also nontechnical issues are important to the success of software reuse, people are still not certain which factors will have direct effect on the success of reuse. In this paper, we applied a causal discovery algorithm to the software reuse survey data [2]. Ensemble strategy is incorporated to locate a probable causal model structure for software reuse, and find all those factors which have direct effect on the success of reuse. Our discovery results reinforced some conclusions of Morisio et al. and found some new conclusions which might significantly improve the odds of a reuse project succeeding.
Language eng
Field of Research 080309 Software Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©World Scientific Publishing Group
Persistent URL http://hdl.handle.net/10536/DRO/DU:30002380

Document type: Journal Article
Collection: School of Information Technology
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