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Early Software Reliability Prediction with Extended ANN Model

https://doi.org/10.1109/compsac.2006.130

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jss.2006.03.033openalex-snapshot

A control-theoretic approach to the management of the software system test phase

inferredcites →https://doi.org/10.1016/j.ress.2004.03.028openalex-snapshot

Evolutionary neural network modeling for software cumulative failure time prediction

inferredcites →https://doi.org/10.1016/j.ress.2006.04.007openalex-snapshot

Robust recurrent neural network modeling for software fault detection and correction prediction

inferredcites →https://doi.org/10.1016/s0164-1212(01)00027-9openalex-snapshot

On the neural network approach in software reliability modeling

inferredcites →https://doi.org/10.1016/s0164-1212(99)00065-5openalex-snapshot

Software reliability prediction incorporating information from a similar project

inferredcites →https://doi.org/10.1016/s0898-1221(03)90117-9openalex-snapshot

A study of the connectionist models for software reliability prediction

inferredcites →https://doi.org/10.1016/s0925-2312(03)00385-0openalex-snapshot

A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data

inferredcites →https://doi.org/10.1109/2.544240openalex-snapshot

Predicting software reliability

inferredcites →https://doi.org/10.1109/24.740500openalex-snapshot

Software reliability modeling: an approach to early reliability prediction

inferredcites →https://doi.org/10.1109/32.148475openalex-snapshot

Prediction of software reliability using connectionist models

inferredcites →https://doi.org/10.1109/step.2003.4openalex-snapshot

An Overview of Software Cybernetics

inferredcites →https://doi.org/10.1142/1390openalex-snapshot

Software Reliability Modelling

inferredcites →https://doi.org/10.1142/9789814343091openalex-snapshot

SOFTWARE RELIABILITY MODELLING

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781119223931.refsopenalex-snapshot

References

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Software reliability prediction: A survey

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Software reliability prediction: A machine learning and approximation Bayesian inference approach

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Bi-LSTM-Based Model for Software Reliability Prediction in Multi-sprint Agile Based Software

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Architecture Based Reliability and Testing Estimation for Mobile Applications

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Model-Based Software Reliability Prediction

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Software Reliability Prediction Using Machine Learning Techniques

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Revisiting Software Reliability

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Early Reliability Prediction Model Integrating Halstead’s Metrics and Fuzzy Usage

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A comprehensive survey on intelligent software reliability prediction

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Software reliability prediction using machine learning techniques

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Early software defect prediction: A systematic map and review

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Soft Computing Techniques for Dependable Cyber-Physical Systems

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Predicting Cumulative Number of Failures in Software Using an ANN-PSO Based Approach

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Measuring and Assessing Software Reliability Growth through Simulation-Based Approaches

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Predicting Software Reliability with Support Vector Machines

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A study of applying support vector machine and Genetic Algorithm to software reliability forecasting

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Early software reliability prediction based on support vector machines with genetic algorithms

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Fault Prediction of Agile-Based Software Using Attention-Based BiGRU

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A study on software reliability prediction based on support vector machines

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Software reliability prediction based on support vector regression with binary particle swarm optimization for model mining

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A study of applying ARIMA and SVM model to software reliability prediction

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Software Reliability Modeling: Comparative Analysis

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PREDICTING THE RELIABILITY OF SOFTWARE SYSTEMS USING RECURRENT NEURAL NETWORKS: LSTM MODEL

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Software Reliability Prediction through Encoder-Decoder Recurrent Neural Networks

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Software Reliability Modeling using Soft Computing Techniques: Critical Review

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Software Reliability Prediction using Neural Network with Encoded Input

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Software Reliability Modeling using Soft Computing Techniques: Critical Review

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A New Approach to the Quantitative Measurement of Software Reliability

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