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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Bibliographic Details

Published in:	2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) pp. 341 - 342
Main Authors:	Eghbali, Aryaz, Pradel, Michael
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2022
Subjects:	BLEU Codes Computer languages Correlation Evaluation Machine learning Measurement Metric Natural languages Syntactics
Online Access:	Get full text
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