Communications of the ACM - Special issue on parallelism
Evaluation of competing software reliability predictions
IEEE Transactions on Software Engineering - Special issue on reliability and safety in real-time process control
Recalibrating Software Reliability Models
IEEE Transactions on Software Engineering
Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
In-Process Evaluation for Software Inspection and Test
IEEE Transactions on Software Engineering - Special issue on software reliability
In-process improvement through defect data interpretation
IBM Systems Journal
Total Variance Approach to Software Reliability Estimation
IEEE Transactions on Software Engineering - Special issue: best papers of the sixth international workshop on Petri nets and performance models (PNPM'95)
Using Neural Networks in Reliability Prediction
IEEE Software
The Infeasibility of Quantifying the Reliability of Life-Critical Real-Time Software
IEEE Transactions on Software Engineering
The Effect of Imperfect Error Detection on Reliability Assessment via Life Testing
IEEE Transactions on Software Engineering
Software Reliability Status and Perspectives
IEEE Transactions on Software Engineering
EuroSPI'07 Proceedings of the 14th European conference on Software Process Improvement
Enhancing software reliability estimates using modified adaptive testing
Information and Software Technology
Hi-index | 0.00 |
Most software reliability methods have been developed to predict the reliability of a program using only data gathered during the testing and validation of a specific program. Hence, the confidence that can be attained in the reliability estimate is limited since practical resource constraints can result in a statistically small sample set. One exception is the Orthogonal Defect Classification (ODC) method, which uses data gathered from several projects to track the reliability of a new program. Combining ODC with root-cause analysis can be useful in many applications where it is important to know the reliability of a program for a specific type of a fault. By focusing on specific classes of defects, it becomes possible to (a) construct a detailed model of the defect and (b) use data from a large number of programs. In this paper, we develop one such approach and demonstrate its application to modeling Y2K defects.