Software reliability growth model with normal distribution and its parameter estimation

This paper proposes software reliability growth models (SRGM) where the software failure time follows a normal distribution. The proposed model is mathematically tractable and has sufficient ability of fitting to the software failure data. In particular, we consider the parameter estimation algorith...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Okamura, H., Dohi, T., Osaki, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational modeling EM algorithm Gaussian distribution Mathematical model Maximum likelihood estimation non-homogeneous Poisson process normal distribution Software Software algorithms Software reliability
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