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Furthermore, future nanoelectronic devices are expected to have extremely high defect rates, making test and fault tolerance key factors for obtaining working devices.
Advanced test and fault tolerance solutions are therefore necessary for building resilience against defects in these new systems---from devices to architectures.
The primary research interests of our group are in fault modeling, test, and fault tolerance of such state-of-the-art computing and memory platforms including neuromorphic (bionic) processors, ML/AI chips implementing spiking neural networks, monolithic 3D ICs, and microfluidic biochips.
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Furthermore, this problem concerns needing more times on testing and fault diagnosis, and wasting more manpower and material resources.
Testing and fault localization are very expensive software engineering tasks that have been tried to be automated.
Based on the model and the IFOG structure, a failure diagnosis strategy and recovery processing are proposed, and verified by results of radiation tests and fault injection experiments.
Ballista is a tool that combines software testing and fault injection techniques.
The work can be applied in various domains such as EFSM-based test derivation, mutation testing, and fault diagnosis.
Gizopoulos has published more than 150 papers in peer reviewed IEEE and ACM journals and conferences, is an inventor of US patents, author of a book and editor of two more on testing and fault tolerance.
Based on this brief analysis, we conclude that designing those operators was a "natural" evolution of operators previously devised for procedural programs, despite addressing different testing levels (i.e. unit and integration testing) and fault types.
Thus, there is no gain from similar test cases, and fault detection ratio can be improved if test diversity increases.
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