Ontology highlight
ABSTRACT:
SUBMITTER: Huang S
PROVIDER: S-EPMC8017285 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Huang Shan S Zhou Xiao X Chin Sang S
Frontiers in artificial intelligence 20210319
We apply various seq2seq models on programming language correction tasks on Juliet Test Suite for C/C++ and Java of Software Assurance Reference Datasets and achieve 75% (for C/C++) and 56% (for Java) repair rates on these tasks. We introduce pyramid encoder in these seq2seq models, which significantly increases the computational efficiency and memory efficiency, while achieving similar repair rate to their nonpyramid counterparts. We successfully carry out error type classification task on ITC ...[more]