Partition Testing Does Not Inspire Confidence (Program Testing)
IEEE Transactions on Software Engineering
Analyzing Partition Testing Strategies
IEEE Transactions on Software Engineering
Comparison of program testing strategies
TAV4 Proceedings of the symposium on Testing, analysis, and verification
Software failure risk: measurement and management
Software failure risk: measurement and management
Safeware: system safety and computers
Safeware: system safety and computers
Optimal Test Distributions for Software Failure Cost Estimation
IEEE Transactions on Software Engineering
Using failure cost information for testing and reliability assessment
ACM Transactions on Software Engineering and Methodology (TOSEM)
Experiments of the effectiveness of dataflow- and controlflow-based test adequacy criteria
ICSE '94 Proceedings of the 16th international conference on Software engineering
Testing software to detect and reduce risk
Journal of Systems and Software
Operational Profiles in Software-Reliability Engineering
IEEE Software
On some reliability estimation problems in random and partition testing
IEEE Transactions on Software Engineering
An Experimental Comparison of the Effectiveness of Branch Testing and Data Flow Testing
IEEE Transactions on Software Engineering
Provable Improvements on Branch Testing
IEEE Transactions on Software Engineering
The Automatic Generation of Load Test Suites and the Assessment of the Resulting Software
IEEE Transactions on Software Engineering
ESEC '89 Proceedings of the 2nd European Software Engineering Conference
Theories of Program Testing and the Application of Revealing Subdomains
IEEE Transactions on Software Engineering
Managing redundancy in CAN-based networks supporting N-Version Programming
Computer Standards & Interfaces
TestCom'03 Proceedings of the 15th IFIP international conference on Testing of communicating systems
Combining Architecture-based Software Reliability Predictions with Financial Impact Calculations
Electronic Notes in Theoretical Computer Science (ENTCS)
Towards a software failure cost impact model for the customer: an analysis of an open source product
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
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Abstract: Software risk is intended to reflect loss due to software failure. This has traditionally been computed by taking the product of two things: a probability of occurrence and the cost associated with failures. Applying these definitions in practice, however, may be much harder than it at first appears. There are two types of problems that affect the applicability and usefulness of such a computation: that the user has to know detailed information that is not normally available, and that most risk definitions do not use relevant information that is available, including information derived from testing. In this paper, a definition of risk is introduced that will be usable in industrial settings. We also explore ways of incorporating information about how the software has been tested, the degree to which the software has been tested, and the observed results.