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J. A. Achcar, D. K. Dey and M. Niverthi, “A Bayesian Approach Using Nonhomogeneous Poisson Processes for Software Reliability Models,” In: A. P. Basu, K. S. Basu and S. Mukhopadhyay, Eds., Frontiers in Reliability, World Scientific, Singapore City, 1998, pp. 1-18.

has been cited by the following article:

• TITLE: Quantitative Security Evaluation for Software System from Vulnerability Database

  AUTHORS: Hiroyuki Okamura, Masataka Tokuzane, Tadashi Dohi

  KEYWORDS: Quantitative Security Evaluation; Vulnerability Database; Non-Homogeneous Poisson Process, Contents Management System

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.4A, April 23, 2013

  ABSTRACT: This paper proposes a quantitative security evaluation for software system from the vulnerability data consisting of discovery date, solution date and exploit publish date based on a stochastic model. More precisely, our model considers a vulnerability life-cycle model and represents the vulnerability discovery process as a non-homogeneous Poisson process. In a numerical example, we show the quantitative measures for contents management system of an open source project.