DocumentCode :
2031627
Title :
A Measurement Method of Software Flexibility Based on BP Network
Author :
Niu, Jingchun ; Shen, Limin ; Peng, Siwei ; Li, Feng
Author_Institution :
Coll. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
An approach for software flexibility measurement and measurement indexes based on BP neural network were proposed. By using the self-organizing, self-learning and self- adapting properties of BP neural networks, the rule of software flexibility measurement indexes weight concealed in the training data could be learned by means of BP neural networks automatically adjust indexes weight of measurement. Therefore the influence of random factors could be overcome. In order to validate the proposed method, the software flexibility measurement model based on BP neural network was established. 10 samples were trained and 2 samples were tested. Analysis results show that we could get satisfying precision of the software flexibility measurement and the method is feasible in the software flexibility measurement.
Keywords :
backpropagation; self-organising feature maps; software engineering; unsupervised learning; BP neural network; measurement indexes; self-adapting properties; self-learning properties; self-organizing properties; software flexibility; Application software; Artificial neural networks; Computer architecture; Educational institutions; Network topology; Neural networks; Software measurement; Software systems; User interfaces; Weight measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
Type :
conf
DOI :
10.1109/IWISA.2009.5072635
Filename :
5072635
Link To Document :
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