• DOI:10.1109/TSE.2015.2487274
Corpus ID: 15927031

A Probabilistic Analysis of the Efficiency of Automated Software Testing

@article{Bhme2016APA,
  title={A Probabilistic Analysis of the Efficiency of Automated Software Testing},
  author={Marcel B{\"o}hme and S. Paul},
  journal={IEEE Transactions on Software Engineering},
  year={2016},
  volume={42},
  pages={345-360}
}

Marcel Böhme, S. Paul

Published 2016

Computer Science

IEEE Transactions on Software Engineering

We study the relative efficiencies of the random and systematic approaches to automated software testing. Using a simple but realistic set of assumptions, we propose a general model for software testing and define sampling strategies for random (R) and systematic (S0) testing, where each sampling is associated with a sampling cost: 1 and c units of time, respectively. The two most important goals of software testing are: (i) achieving in minimal time a given degree of confidence x in a program… CONTINUE READING

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