Fault Injection Experiments Using FIAT
IEEE Transactions on Computers
Reliable computer systems (2nd ed.): design and evaluation
Reliable computer systems (2nd ed.): design and evaluation
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
FINE: A Fault Injection and Monitoring Environment for Tracing the UNIX System Behavior Under Faults
IEEE Transactions on Software Engineering - Special issue on software reliability
Dependability: Basic Concepts and Terminology
Dependability: Basic Concepts and Terminology
Engineering Software Under Statistical Quality Control
IEEE Software
Operational Profiles in Software-Reliability Engineering
IEEE Software
Fault Injection and Dependability Evaluation of Fault-Tolerant Systems
IEEE Transactions on Computers
Generation of an error set that emulates software faults based on field data
FTCS '96 Proceedings of the The Twenty-Sixth Annual International Symposium on Fault-Tolerant Computing (FTCS '96)
Measurement of Failure Rate in Widely Distributed Software
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Optimizing preventive service of software products
IBM Journal of Research and Development
Stress-Based and Path-Based Fault Injection
IEEE Transactions on Computers
A literature survey of the quality economics of defect-detection techniques
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Emulation of Software Faults: A Field Data Study and a Practical Approach
IEEE Transactions on Software Engineering
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Fault injection allows a detailed study of complex interactions between faults and fault handling mechanisms. It can be a useful complement to analytical modeling and formal verification techniques in the testing of fault tolerant systems. However, work on fault injection has not matured adequately to provide industry with cost effective alternatives for the validation of fault tolerant systems. This study analyzes 408 customer discovered faults (defects) in a release of a large operating system product. We discuss methods to select the error types for an error injection experiment in the system test environment, aimed at fault removal. Using four levels of severity and a total of 24 error types as recorded in the customer defects records, we analyze the faults in terms of fault types and system test triggers as defined in ODC. Our work shows examples of criteria that can be used to select errors for injection that use the information from the field reported defects.