Software reliability analysis models
IBM Journal of Research and Development
Exponential order statistic models of software reliability growth
IEEE Transactions on Software Engineering
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Handbook of software reliability engineering
Handbook of software reliability engineering
Software Reliability
Software Reliability Models: Developments, Evaluation and Applications
Software Reliability Models: Developments, Evaluation and Applications
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Log-Logistic Software Reliability Growth Model
HASE '98 The 3rd IEEE International Symposium on High-Assurance Systems Engineering
Effort-Index-Based Software Reliability Growth Models and Performance Assessment
COMPSAC '00 24th International Computer Software and Applications Conference
On a Unified Theory of Some Nonhomogenous Poisson Process Models for Software Reliability
SEEP '98 Proceedings of the 1998 International Conference on Software Engineering: Education & Practice
Quantitative Software Reliability Modeling from Testing to Operation
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Software Reliability Growth Models Incorporating Fault Dependency with Various Debugging Time Lags
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Performance analysis of software reliability growth models with testing-effort and change-point
Journal of Systems and Software
Comparing Uniform and Flexible Policies for Software Maintenance and Replacement
IEEE Transactions on Software Engineering
Journal of Systems and Software
Journal of Systems and Software - Special issue: Quality software
Journal of Systems and Software
Predictive analyses for nonhomogeneous Poisson processes with power law using Bayesian approach
Computational Statistics & Data Analysis
Software Reliability Engineering: A Roadmap
FOSE '07 2007 Future of Software Engineering
Statistical inference and prediction for the Weibull process with incomplete observations
Computational Statistics & Data Analysis
Journal of Systems and Software
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Considering environmental function in reliability growth modeling from testing to operation
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Simulation of the defect removal process with queuing theory
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Software reliability analysis and assessment using queueing models with multiple change-points
Computers & Mathematics with Applications
Software quality assurance using software reliability growth modelling: state of the art
International Journal of Business Information Systems
Enhancing software reliability estimates using modified adaptive testing
Information and Software Technology
Personalized Reliability Prediction of Web Services
ACM Transactions on Software Engineering and Methodology (TOSEM)
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In this paper, we describe how several existing software reliability growth models based on Nonhomogeneous Poisson processes (NHPPs) can be comprehensively derived by applying the concept of weighted arithmetic, weighted geometric, or weighted harmonic mean. Furthermore, based on these three weighted means, we thus propose a more general NHPP model from the quasi arithmetic viewpoint. In addition to the above three means, we formulate a more general transformation that includes a parametric family of power transformations. Under this general framework, we verify the existing NHPP models and derive several new NHPP models. We show that these approaches cover a number of well-known models under different conditions.