Title :
Research on failure model of software reliability based on the least squares support vector regression machines and simulated annealing algorithm
Author :
Zhu Xiaodong ; Xu Renzuo ; Chen XiLun ; Chao Bing
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
Abstract :
Building a software failure model (SFM) is an important means to compute the software reliability. While there are not enough faults data, the estimation for model parameters is not accurate, which would decrease the fitting precision. In addition, the estimation for parameters of complex models is very complicated. An SFM based on the least squares support vector regression machines (LSSVRM) could decrease the fitting error, and there are no parameters to estimate in that SFM. The LSSVRM optimized by simulated annealing algorithm (SA-LSSVRM) is introduced to overcome the problem of there being free parameters in LSSVRM to be modified manually. The SFM based on SA-LSSVGM could fit the faults data better, and the precision of software reliability could be improved.
Keywords :
least squares approximations; regression analysis; simulated annealing; software reliability; support vector machines; fitting error; least squares support vector regression machines; simulated annealing algorithm; software failure model; software reliability; Computational modeling; Computer simulation; Debugging; Laboratories; Least squares approximation; Least squares methods; Parameter estimation; Simulated annealing; Software algorithms; Software reliability; least squares support vector regression machines; simulated annealing algorithm; software failure model; software reliability;
Conference_Titel :
Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-6565-1
Electronic_ISBN :
978-1-4244-6566-8
DOI :
10.1109/ICMIT.2010.5492891
