A case-based reasoning approach to derive object-oriented models from software architectures

2010 ◽  
Vol 27 (4) ◽  
pp. 267-290 ◽  
Author(s):  
German L. Vazquez ◽  
J. Andres Díaz-Pace ◽  
Marcelo R. Campo
2015 ◽  
Vol 7 (4) ◽  
pp. 4318-4342 ◽  
Author(s):  
Jie Dou ◽  
Kuan-Tsung Chang ◽  
Shuisen Chen ◽  
Ali Yunus ◽  
Jin-King Liu ◽  
...  

Author(s):  
Cheng Xu ◽  
Yongjuan Wang ◽  
Changyi Liu

Abstract An approach synthesized with comprehensive evaluation & decision, rule-based reasoning, case-based reasoning and 3D parametric model are proposed to solve the problems of automation of the conceptual design of the mechanical products with middle complex level. A prototype software system for automatic rifle layout design was implemented using the object-oriented language — C++ based on this approach. The results running the prototype software system can well meet the demands of conceptual design of these complex level products.


2016 ◽  
Vol 6 (6) ◽  
pp. 1212-1216
Author(s):  
B. Trstenjak ◽  
D. Donko ◽  
Z. Avdagic

Nowadays, we are witnessing the rapid development of medicine and various methods that are used for early detection of diseases. In order to make quality decisions in diagnosis and prevention of disease, various decision support systems based on machine learning methods have been introduced in the medical domain. Such systems play an increasingly important role in medical practice. This paper presents a new web framework concept for disease prediction. The proposed framework is object-oriented and enables online prediction of various diseases. The framework enables online creation of different autonomous prediction models depending on the characteristics of diseases. Prediction process in the framework is based on a hybrid Case Based Reasoning classifier. The framework was evaluated on disease datasets from public repositories. Experimental evaluation shows that the proposed framework achieved high diagnosis accuracy.


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