Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Coverage Modeling for Dependability Analysis of Fault-Tolerant Systems
IEEE Transactions on Computers
Reliability Analysis of Large Software Systems: Defect Data Modeling
IEEE Transactions on Software Engineering
Dependability Modeling and Evaluation of Software Fault-Tolerant Systems
IEEE Transactions on Computers
Fault-tolerance in the advanced automation system
EW 4 Proceedings of the 4th workshop on ACM SIGOPS European workshop
Recommended Practice for Software Reliability
Recommended Practice for Software Reliability
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
SOSP '81 Proceedings of the eighth ACM symposium on Operating systems principles
The Concept of Coverage and Its Effect on the Reliability Model of a Repairable System
IEEE Transactions on Computers
Hardware-Related Software Errors: Measurement and Analysis
IEEE Transactions on Software Engineering
Software Reliability Models: Assumptions, Limitations, and Applicability
IEEE Transactions on Software Engineering
Effect of System Workload on Operating System Reliability: A Study on IBM 3081
IEEE Transactions on Software Engineering
An Approach to Measuring and Assessing Dependability for Critical Software Systems
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
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This paper discusses a measurement-based approach to dependability evaluation of fault-tolerant, real-time software systems based on failure data collected from stability tests of an air traffic control system under development. Several dependability analysis techniques are illustrated with the data: parameter estimation, availability modeling of software from the task level, applications of the parameter estimation and model evaluation in assessing availability, identifying key problem areas, and predicting required test duration for achieving desired levels of availability, and quantification of relationships between software size, the number of faults, and failure rate for a software unit. Although most discussion is focused on a typical subsystem, Sector Suite, the discussed methodology is applicable to other subsystems and the system. The study demonstrates a promising approach to measuring and assessing software availability during the development phase, which has been increasingly demanded by the project management of developing large, critical systems.