EM-algorithm in Software Reliability Modeling
نویسنده
چکیده
The purpose of this paper is to give an overview on the use of the Expectation-Maximization (EM) algorithm in software reliability modeling. This algorithm is related to Maximum Likelihood Estimates (MLE) of parameters in a context of missing data. Different ways to implement this algorithm are highlighted for hidden Markov models in software reliability.
منابع مشابه
An EM-Based Scheme for Record Value Statistics Models in Software Reliability Estimation
This paper considers an EM (expectation-maximization) based scheme for record value statistics (RVS) models in software reliability estimation. The RVS model provides one of the generalized modeling frameworks to unify several of existing software reliability models described as non-homogeneous Poisson processes (NHPPs). The proposed EM algorithm gives a numerically stable procedure to compute ...
متن کاملNHPP-Based Software Reliability Models Using Equilibrium Distribution
Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. ...
متن کاملTowards a filter-based EM-algorithm for parameter estimation of Littlewood’s software reliability model
In this paper, we deal with a continuous-time software reliability model designed by Littlewood. This model may be thought of as a partially observed Markov process. The EM-algorithm is a standard way to estimate the parameters of processes with missing data. The E-step requires the computation of basic statistics related to observed/hidden processes. In this paper, we provide finite-dimensiona...
متن کاملModeling of Epistemic Uncertainty in Reliability Analysis of Structures Using a Robust Genetic Algorithm
In this paper the fuzzy structural reliability index was determined through modeling epistemic uncertainty arising from ambiguity in statistical parameters of random variables. The First Order Reliability Method (FORM) has been used and a robust genetic algorithm in the alpha level optimization method has been proposed for the determination of the fuzzy reliability index. The sensitivity level ...
متن کاملA Surface Water Evaporation Estimation Model Using Bayesian Belief Networks with an Application to the Persian Gulf
Evaporation phenomena is a effective climate component on water resources management and has special importance in agriculture. In this paper, Bayesian belief networks (BBNs) as a non-linear modeling technique provide an evaporation estimation method under uncertainty. As a case study, we estimated the surface water evaporation of the Persian Gulf and worked with a dataset of observations ...
متن کامل