Bao Rong Chang1,*, Hsiu-Fen Tsai2, Po-Wen Su1
CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 253-277, 2021, DOI:10.32604/cmes.2021.015673
Abstract This paper introduces a novel transform method to produce the newly generated programs through code transform
model called the second generation of Generative Pre-trained Transformer (GPT-2) reasonably, improving the
program execution performance significantly. Besides, a theoretical estimation in statistics has given the minimum
number of generated programs as required, which guarantees to find the best one within them. The proposed
approach can help the voice assistant machine resolve the problem of inefficient execution of application code. In
addition to GPT-2, this study develops the variational Simhash algorithm to check the code similarity between
sample program and newly generated program, and… More >
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