Optimizing System-Level Test Program Generation via Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8344

@InProceedings{Schwachhofer:2024:ETS,

• author = "Denis Schwachhofer and Francesco Angione and Steffen Becker and Stefan Wagner and Matthias Sauer and Paolo Bernardi and Ilia Polian",
• title = "Optimizing System-Level Test Program Generation via Genetic Programming",
• booktitle = "2024 IEEE European Test Symposium (ETS)",
• year = "2024",
• month = may,
• keywords = "genetic algorithms, genetic programming, Out of order, Temperature, Power demand, Europe, Hardware, Software, System-Level Test, test generation, RISC-V, stress test",
• ISSN = "1558-1780",
• DOI = "doi:10.1109/ETS61313.2024.10567817",
• 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 tests. System-Level Test (SLT) is another test step to combat this challenge. SLT is in charge of exercising system-level interactions between hardware components and software. Non-functional properties, e.g., temperature, play a major role in SLT.This work focuses on the automatic generation of assembly test programs for SLT that aim to indirectly maximize a particular non-functional property, for example, the temperature. 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 the test programs. Afterward, an additional generation is done on the hardware to optimise the initial register contents of the program.The case study for gathering experimental results is a super-scalar out-of-order RISC-V processor, the Berkeley Out-of-Order Machine (BOOM). Experimental results show that the two-step generation is more effective in converging to a better power-hungry test program than only using the power consumption as a fitness function for the genetic algorithm.",
• notes = "Also known as \cite{10567817}",

}

Genetic Programming entries for Denis Schwachhofer Francesco Angione Steffen Becker Stefan Wagner Matthias Sauer Paolo Bernardi Ilia Polian

Citations