Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Markov analysis of software specifications
ACM Transactions on Software Engineering and Methodology (TOSEM)
A Markov Chain Model for Statistical Software Testing
IEEE Transactions on Software Engineering
Measuring and Modeling Usage and Reliability for Statistical Web Testing
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Software Reliability Engineered Testing
Software Reliability Engineered Testing
Annals of Software Engineering
Planning and Certifying Software System Reliability
IEEE Software
Operational Profiles in Software-Reliability Engineering
IEEE Software
Improved techniques for software testing based on markov chain usage models
Improved techniques for software testing based on markov chain usage models
Statistical Software Testing with Parallel Modeling: A Case Study
ISSRE '04 Proceedings of the 15th International Symposium on Software Reliability Engineering
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Software systems are becoming increasingly more complex and testing it to a reliable system requires a great deal of effort. Statistical testing promises a solution to this increased testing burden and gives the opportunity to have statistical inferences like reliability, mean time to failure etc. Today there are hundreds of reliability models with more models developed every year. Still there does not exist any model that can be applied in all cases. In this paper we present the feasibility of applying statistical testing based on Markov chain usage model to database based application software and show that statistical testing gives better reliability assessment than random testing.