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