CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code

Recent work has focused on using machine learning to automate software engineering processes, such as code completion, code migration, and generating code from natural language description. One of the challenges faced in these tasks is evaluating the quality of the predictions, which is usually done...

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Vydané v:	2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) s. 341 - 342
Hlavní autori:	Eghbali, Aryaz, Pradel, Michael
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2022
Predmet:	BLEU Codes Computer languages Correlation Evaluation Machine learning Measurement Metric Natural languages Syntactics
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