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

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