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Issue 45/2017
The CEA states that the primary version is the paper one.
Romuald Hoffmann
Modele wykrywania podatności oprogramowania oparte na stochastycznych równaniach różniczkowych
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Vulnerability Discovery Models for a Software System Using Stochastic Differential Equations
Abstract
Vulnerability discovery models (VDMs) illustrate changes in the vulnerability detection processes of software during system lifecycles. So far very few VDMs based on stochastic differential equations have been proposed. In this paper, there were presented two vulnerability discovery models based on Itô-type stochastic differential equations. The first was the Alhazmi-Malaiya Logistic Model based on the stochastic differential equation proposed by Shrivastava, Sharma and Kapur in 2015. The second one, proposed in this paper, was a modified Rescorla Exponential Model using the Itô stochastic differential equation. The proposed modified Rescorla model was obtained by using the stochastic differential equation approach to the Goel-Okumoto software reliability model.
Article: PDF
Table of contents of issue 45
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