Terminal de consulta web

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

Agradecimentos: The authors would like to thank FAPESP 2011/17339-5, FAPESP 2013/17823-0 and PAPDIC #1198/12 grants. We would like to thank the editor and referees for their valuable comments and suggestions that improved the paper

Abstract: 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 (per lines of code) number of... Ver mais

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

2011/17339-5; 2013/17823-0

Fechado

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 (Fonte avulsa)