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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jha, S.K. Langmead, C.J. Mohalik, S. Ramesh, S. |
| Copyright Year | 2011 |
| Description | Author affiliation: Computer Science Department and Lane Center for Computational Biology, Carnegie Mellon University (Langmead, C.J.) || India Science Lab, General Motors Research and Development, Bangalore, India (Mohalik, S.; Ramesh, S.) || Computer Science Department, University of Central Florida, Orlando, Florida (Jha, S.K.) |
| Abstract | Exhaustive state space exploration based verification of embedded system designs remains a challenge despite three decades of active research into Model Checking. On the other hand, simulation based verification of even critical embedded system designs is often subject to financial budget considerations in practice. In this paper, we suggest an algorithm that minimizes the overall cost of producing an embedded system including the cost of testing the embedded system and expected losses from an incompletely tested design. We seek to quantify the trade-off between the budget for testing and the potential financial loss from an incorrect design. We demonstrate that our algorithm needs only a logarithmic number of test samples in the cost of the potential loss from an incorrect validation result. We also show that our approach remains sound when only upper bounds on the potential loss and lower bounds on the cost of simulation are available. We present experimental evidence to corroborate our theoretical results. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 131600 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612842080 |
| ISSN | 15301591 |
| e-ISBN | 9783981080186 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-03-14 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | European Design Automation Association (EDAA) |
| Subject Keyword | Biological system modeling Computational modeling Stochastic processes Embedded systems Bayesian methods Adaptation model Probabilistic logic |
| Content Type | Text |
| Resource Type | Article |
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