Multi-task Learning based Pre-trained Language Model for Code Completion

Code completion is one of the most useful features in the Integrated Development Environments (IDEs), which can accelerate software development by suggesting the next probable token based on the contextual code in real-time. Recent studies have shown that statistical language modeling techniques can...

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Veröffentlicht in:	2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE) S. 473 - 485
Hauptverfasser:	Liu, Fang, Li, Ge, Zhao, Yunfei, Jin, Zhi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.09.2020
Schlagworte:	code completion Context modeling multi-task learning pre-trained language model Predictive models Real-time systems Software Software engineering Task analysis transformer networks
ISSN:	2643-1572
Online-Zugang:	Volltext
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