Software Reliability Model with Optimal Selection of Failure Data
IEEE Transactions on Software Engineering - Special issue on software reliability
Using a Reliability Growth Model to Control Software Inspection
Empirical Software Engineering
Applying Reliability Models to the Space Shuttle
IEEE Software
Better Reliability Assessment and Prediction through Data Clustering
IEEE Transactions on Software Engineering
A logarithmic poisson execution time model for software reliability measurement
ICSE '84 Proceedings of the 7th international conference on Software engineering
An approach towards reliable software
ICSE '79 Proceedings of the 4th international conference on Software engineering
When to stop testing and start using software?
Proceedings of the 1981 ACM workshop/symposium on Measurement and evaluation of software quality
Reliability and Risk Analysis for Software that Must be Safe
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
A comparison of program complexity prediction models
ACM SIGSOFT Software Engineering Notes
Software faults: a quantifiable definition
Advances in Engineering Software
An integration of fault detection and correction processes in software reliability analysis
Journal of Systems and Software - Special issue: Selected papers from the 4th source code analysis and manipulation (SCAM 2004) workshop
Programming Languages The First 25 Years
IEEE Transactions on Computers
Does software reliability growth behavior follow a non-homogeneous Poisson process
Information and Software Technology
AFIPS '81 Proceedings of the May 4-7, 1981, national computer conference
Unified framework for developing testing effort dependent software reliability growth models
WSEAS TRANSACTIONS on SYSTEMS
Software faults: A quantifiable definition
Advances in Engineering Software
Quasi-renewal time-delay fault-removal consideration in software reliability modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
The implementation of artificial neural networks applying to software reliability modeling
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
ACM SIGSOFT Software Engineering Notes
Dependability metrics
Software quality assurance using software reliability growth modelling: state of the art
International Journal of Business Information Systems
Software reliability measurement
Journal of Systems and Software
Software error detection model with applications
Journal of Systems and Software
Optimum release time for software systems based on reliability and cost criteria
Journal of Systems and Software
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A non-homogeneous Poisson process is used to model the occurrence of errors detected during functional testing of command and control software. The parameters of the detection process are estimated by using a combination of maximum likelihood and weighted least squares methods. Once parameter estimates are obtained, forecasts can be made of cumulative number of detected errors. Forecasting equations of cumulative corrected errors, errors detected but not corrected, and the time required to detect or correct a specified number of errors, are derived from the detected error function. The various forecasts provide decision aids for managing software testing activities. Naval Tactical Data System software error data are used to evaluate several variations of the forecasting methodology and to test the accuracy of the forecasting equations. Because of changes which take place in the actual detected error process, it was found that recent error observations are more representative of future error occurrences than are early observations. Based on a limited test of the model, acceptable accuracy was obtained when using the preferred forecasting method.