Software errors and complexity: an empirical investigation0
Communications of the ACM
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Automatic Recognition of Intermittent Failures: An Experimental Study of Field Data
IEEE Transactions on Computers
Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
A Formal Framework for On-line Software Version Change
IEEE Transactions on Software Engineering
Software Dependability in the Tandem GUARDIAN System
IEEE Transactions on Software Engineering
Efficient service of rediscovered software problems
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
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Diagnosing new faults using mutants and prior faults (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
Assisting failure diagnosis through filesystem instrumentation
Proceedings of the 2011 Conference of the Center for Advanced Studies on Collaborative Research
An empirical study on the use of mutant traces for diagnosis of faults in deployed systems
Journal of Systems and Software
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This paper presents an approach to automatically diagnosing rediscovered software failures using symptoms, in environments in which many users run the same procedural software system. The approach is based on the observation that the great majority of field software failures are rediscoveries of previously reported problems and that failures caused by the same defect often share common symptoms. Based on actual data, the paper develops a small software failure fingerprint, which consists of the procedure call trace, problem detection location, and the identification of the executing software. The paper demonstrates that over 60 percent of rediscoveries can be automatically diagnosed based on fingerprints; less than 10 percent of defects are misdiagnosed. The paper also discusses a pilot that implements the approach. Using the approach not only saves service resources by eliminating repeated data collection for and diagnosis of reoccurring problems, but it can also improve service response time for rediscoveries.