Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
IEEE Transactions on Software Engineering
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Determining an Optimal Time Interval for Testing and Debugging Software
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Prediction of Software Reliability Using Connectionist Models
IEEE Transactions on Software Engineering
Machine Learning Approaches to Estimating Software Development Effort
IEEE Transactions on Software Engineering
Handbook of software reliability engineering
Handbook of software reliability engineering
Neural networks for software reliability engineering
Handbook of software reliability engineering
Optimal Release Times for Software Systems with Scheduled Delivery Time Based on the HGDM
IEEE Transactions on Computers
Software Engineering Economics
Software Engineering Economics
Software Assessment: Reliability, Safety, Testability
Software Assessment: Reliability, Safety, Testability
Quantifying Software Validation: When to Stop Testing?
IEEE Software
Using Neural Networks in Reliability Prediction
IEEE Software
Heuristic Self-Organization Algorithms for Software Reliability Assessment and Their Applications
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
Journal of Systems and Software
Software project management with GAs
Information Sciences: an International Journal
Software Reliability Prediction Using Group Method of Data Handling
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Expert Systems with Applications: An International Journal
Solving software project scheduling problems with ant colony optimization
Computers and Operations Research
Hybrid intelligent systems for predicting software reliability
Applied Soft Computing
Application of Machine Learning Techniques to Predict Software Reliability
International Journal of Applied Evolutionary Computation
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The determination of the optimal software release schedule plays an important role in supplying sufficiently reliable software products to actual market or users. In the existing methods, the optimal software release schedule was determined by assuming the stochastic and/or statistical model called software reliability growth model. In this paper, we propose a new method to estimate the optimal software release timing which minimizes the relevant cost criterion via artificial neural networks. Recently, artificial neural networks are actively studied with many practical applications and are applied to assess the software product reliability. First, we interpret the underlying cost minimization problem as a graphical one and show that it can be reduced to a simple time series forecasting problem. Secondly, artificial neural networks are used to estimate the fault‐detection time in future. In numerical examples with actual field data, we compare the new method based on the neural networks with existing parametric methods using some software reliability growth models and illustrate its benefit in terms of predictive performance. A comprehensive bibliography on the software release problem is presented.