Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Markov analysis of software specifications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Predicting Fault-Prone Software Modules in Telephone Switches
IEEE Transactions on Software Engineering
Towards integration of use case modelling and usage-based testing
Journal of Systems and Software
Software Reliability Engineered Testing
Software Reliability Engineered Testing
Operational Profiles in Software-Reliability Engineering
IEEE Software
Re-Dertification of Software Reliability without Re-Testing
Software Quality and Productivity: Theory, practice and training
Sensitivity of reliability growth models to operational profile errors
ISSRE '96 Proceedings of the The Seventh International Symposium on Software Reliability Engineering
On reducing the sensitivity of software reliability to variations in the operational profile
ISSRE '96 Proceedings of the The Seventh International Symposium on Software Reliability Engineering
Derivation of an Integrated Operational Profile and Use Case Model
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Software Reliability Models: Assumptions, Limitations, and Applicability
IEEE Transactions on Software Engineering
Sensitivity of software system reliability to usage profile changes
Proceedings of the 2007 ACM symposium on Applied computing
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Software reliability is an important characteristic for most systems, but due to its dynamic properties, it is hard to assess until very late in the development. Nevertheless, the testing must be planned to meet the reliability requirements. In test planning, the notion of usage coverage may be used as an indicator of reliability as they are correlated with each other. When the testing is planned, the test cases to be run and the usage profile are derived. The usage profile is estimated using the available information of the expected usage. There are therefore some uncertainties in the estimated usage profile. This paper presents and evaluates a method for analysing the impact of uncertainties in the usage profile on the usage coverage. The method is applied during test planning to evaluate how sensitive the usage coverage is to usage profile uncertainties. Different usage profiles are simulated using the expected usage profile and an uncertainty expressed as a percentage value or a range within which the changed usage profile may vary. Test cases are derived from the expected usage profile and the resulting usage coverage is estimated for each simulated usage profile. Thus, the impact in the usage coverage can be analyzed. The presented analysis method is illustrated with an example system. One of the conclusions from this first study of the method is that the sparseness of the usage profile, which is defined by limitations in the usage pattern, reduces the impact of the usage profile uncertainties. Further, the number of test cases is an important factor in the sensitivity to uncertainties in the usage profile.