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cs.SE2022★ 26 cited
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators
Pietro Liguori, Cristina Improta, Roberto Natella +2
AI-based code generators are an emerging solution for automatically writing programs starting from descriptions in natural language, by using deep neural networks (Neural Machine T…
cs.CL2022★ 4 cited
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation
Pietro Liguori, Cristina Improta, Simona De Vivo +3
Neural Machine Translation (NMT) has reached a level of maturity to be recognized as the premier method for the translation between different languages and aroused interest in diff…