n-Steps ahead software reliability prediction using the Kalman filter

n-Steps ahead software reliability prediction using the Kalman filter

Edson L. Ursini, Paulo S. Martins, Regina L. Moraes, Varese S. Timóteo

ARTIGO

Inglês

This paper presents KSL, a new software reliability growth model (SRGM) based on the Kalman filter with a sub filter and the Laplace trend test. We applied the model to the Linux operating system kernel as a case study to predict the absolute and relative

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

Fechado

Software - Confiabilidade
Filtragem de Kalman
Artigo original

DOI:

Texto completo:

n-Steps ahead software reliability prediction using the Kalman filter

Edson L. Ursini, Paulo S. Martins, Regina L. Moraes, Varese S. Timóteo


										

											
											
										

									

									

										

											

												
n-Steps ahead software reliability prediction using the Kalman filter

											

												

														

		

							
Edson L. Ursini, Paulo S. Martins, Regina L. Moraes, Varese S. Timóteo

		

	


												

										

										
    
										
    
											
										
    
									
    
								
    
							
    
						
    
					
    
				
    
			
    
		
    
	
    

    

		
    
			
    
				
    
					
    
								
    Fontes
    
					
    
					
    
						
    
							
								
    
									
										
    
											
    
												
    
Applied mathematics and computation												
    
											
    
											
    
												
    
											
    
											
    
												
    Vol. 245 (Oct., 2014), p. 116-134