It is well-known that faults affecting an electronic device may compromise its correct functionality, and industries have to check that their devices are fault-free before selling them. In case of a processor core, this task may be accomplished by running specially written "test" programs. In industrial embedded applications, however, shrinking such programs is strictly required. The hard problems of generating and code-optimizing test programs are tackled in this paper by exploiting an evolutionary approach.

Exploiting Evolutionary Computation in an Industrial Flow for the Development of Code-Optimized Microprocessor Test Programs / Cantoro, Riccardo; Gaudesi, Marco; SANCHEZ SANCHEZ, Edgar Ernesto; Squillero, Giovanni. - STAMPA. - (2015), pp. 1465-1466. ((Intervento presentato al convegno Genetic and Evolutionary Computation Conference 2015 (GECCO) tenutosi a Madrid (ESP) nel July 11-15, 2015 [10.1145/2739482.2764673].

Exploiting Evolutionary Computation in an Industrial Flow for the Development of Code-Optimized Microprocessor Test Programs

CANTORO, RICCARDO;GAUDESI, MARCO;SANCHEZ SANCHEZ, Edgar Ernesto;SQUILLERO, Giovanni
2015

Abstract

It is well-known that faults affecting an electronic device may compromise its correct functionality, and industries have to check that their devices are fault-free before selling them. In case of a processor core, this task may be accomplished by running specially written "test" programs. In industrial embedded applications, however, shrinking such programs is strictly required. The hard problems of generating and code-optimizing test programs are tackled in this paper by exploiting an evolutionary approach.
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9781450334884
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2616966
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