Software reliability growth
Abstract — In order to assess software reliability, many software reliability growth models
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Maximized Composite Functions Based Optimized Software Reliability Growth Function For Reliability Prediction
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A New Software Reliability Growth Model: Genetic Programming Based Approach
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Testing Domain based Software Reliability Growth Models using Stochastic Differential Equation
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A Practical Approach to the Performance Analysis of Software Components using Calibrated Software Reliability Growth Models
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Modelling Software Reliability Growth Phenomenon In Distributed Development Environment
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Using Artificial Neural Networks in Stochastic Differential Equations Based Software Reliability Growth Modeling
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Burr Type XII Software Reliability Growth Model
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Software Reliability growth Models, their assumptions, reality and usage of Two stage model for predicting software reliability
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Survey in software Reliability Growth Models: Parameter Estimation and Models Ranking
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Software Reliability Growth Model with New Dynamic Learning Effects and Release Time Determination
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Selecting Best Software Reliability Growth Models: A Social Spider Algorithm based Approach
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Software Reliability Growth Models with Log logistic Testing Effort Function: A Comparative Study
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Burr type III Software Reliability Growth Model with Interval Domain Data
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Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability
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Software Reliability Growth Models Incorporating Burr Type III Test-Effort and Cost-reliability Analysis
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A Discussion of Software Reliability Growth Models with Time-Varying Learning Effects
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Review on Software Reliability Growth Models and Software Release Planning
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Software Reliability Growth Models and its Applications
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Inverse Rayleigh Software Reliability Growth Model
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