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It is based on two-step generation with genetic algorithms. First, a fast architectural simulation is used with the genetic algorithm to provide a structure for ...
Abstract—The rising complexity of integrated devices has led to new defect types and failure modes at the system level that are not detected by structural ...
Jun 29, 2024 · In this paper, we provide a highly flexible genetic programming framework for automatic generation and optimization of program trading ...
In this work, we present a novel machine learning-based approach for microarchitecture-level power modeling of complex CPUs. Our approach requires only high- ...
Dive into the research topics of 'Optimizing System-Level Test Program Generation via Genetic Programming'. Together they form a unique fingerprint. Sort by ...
2024 IEEE European Test Symposium (ETS) , 2024, p.1-4 ,. Optimizing System-Level Test Program Generation via Genetic Programming Disponibile online ...
ABSTRACT. We have used genetic programming to develop efficient image processing software. The ultimate goal of our work.
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Abstract— Software system should be reliable and available failing which huge losses may incur. To achieve these objectives a thorough testing is required.
GenMorph uses an evolutionary algorithm to search for effective test oracles, i.e., oracles that trigger no false alarms and expose software faults in the ...
Nov 30, 2021 · In this paper, a memetic algorithm for automatically generating test data has been presented. The aim is to cover all finite paths of the control flow graph of ...