Software reliability analysis models
IBM Journal of Research and Development
Software engineering: reliability, development, and management.
Software engineering: reliability, development, and management.
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
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
A Model for Software Development Effort and Cost Estimation
IEEE Transactions on Software Engineering
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Software Reliability
Testing Computer Software, Second Edition
Testing Computer Software, Second Edition
Software Quality Approaches: Testing, Verification and Validation
Software Quality Approaches: Testing, Verification and Validation
Applying Reliability Measurement: A Case Study
IEEE Software
Applying Reliability Models to the Space Shuttle
IEEE Software
Optimum Control Limits for Employing Statistical Process Control in Software Process
IEEE Transactions on Software Engineering
A Unified Scheme of Some Nonhomogenous Poisson Process Models for Software Reliability Estimation
IEEE Transactions on Software Engineering
Software Reliability in Weapon Systems
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Stochastic modelling for reliability and other performance measures of software systems with applications.
An infinite server queueing model for software readiness assessment and related performance measures
An infinite server queueing model for software readiness assessment and related performance measures
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Performance analysis of software reliability growth models with testing-effort and change-point
Journal of Systems and Software
ISSRE '05 Proceedings of the 16th IEEE International Symposium on Software Reliability Engineering
Queuing Models for Field Defect Resolution Process
ISSRE '06 Proceedings of the 17th International Symposium on Software Reliability Engineering
Using Software Reliability Growth Models in Practice
IEEE Software
Software Reliability Models: Assumptions, Limitations, and Applicability
IEEE Transactions on Software Engineering
A Study of Uncertainty in Software Cost and Its Impact on Optimal Software Release Time
IEEE Transactions on Software Engineering
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Software debugging, testing, and verification
IBM Systems Journal
IEEE Transactions on Computers
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Over the past three decades, many software reliability growth models (SRGMs) have been proposed, and they can be used to predict and estimate software reliability. One common assumption of these conventional SRGMs is to assume that detected faults will be removed immediately. In reality, this assumption may not be reasonable and may not always occur. During debugging, developers need time to reproduce the failure, identify the root causes of faults, fix them, and then re-run the software. From some experiments or observations, the fault correction rate may not be a constant and could be changed at certain points as time proceeds. Consequently, in this paper, we will investigate and study how to apply queueing models to describe the fault detection and correction processes during software development. We propose an extended infinite server queueing model with multiple change-points to predict and assess software reliability. Experimental results based on real failure data show that the proposed model can depict the change of fault correction rates and predict the behavior of software development more accurately than traditional SRGMs.