Stochastic debugging based reliability growth models for open source software project

Cites Work

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Software reliability modeling. Fundamentals and applications
Software reliability assessment with OR applications.
Sensitivity analysis of release time of software reliability models incorporating testing effort with multiple change-points
Flexible software reliability growth model with testing effort dependent learning process
Stochastic differential equation-based flexible software reliability growth model
Modeling and analysis of software fault detection and correction process through Weibull-type fault reduction factor, change point and imperfect debugging
Optimal software release policies with simultaneous cost and reliability requirements
NHPP software reliability and cost models with testing coverage
Genealogies and increasing propagation of chaos for Feynman-Kac and genetic models.
Parameter optimization of software reliability models using improved differential evolution algorithm
Optimal release time determination via fuzzy goal programming approach for SDE-based software reliability growth model
Imperfect debugging in software reliability: a Bayesian approach
NHPP software reliability model considering the uncertainty of operating environments with imperfect debugging and testing coverage
Incorporating inflection S-shaped fault reduction factor to enhance software reliability growth
A flexible stochastic differential equation model in distributed development environment
A cost model for N-version programming with imperfect debugging
Optimal sofware release policies for software reliability growth models under imperfect debugging
Imperfect debugging models with fault introduction rate for software reliability assessment
Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures
Contributions to Hardware and Software Reliability
Stochastic differential equations. An introduction with applications.