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A survey on large language models for code generation
J Jiang, F Wang, J Shen, S Kim, S Kim - ar** study of source code representation for deep learning in software engineering
The usage of deep learning (DL) approaches for software engineering has attracted much
attention, particularly in source code modelling and analysis. However, in order to use DL …
attention, particularly in source code modelling and analysis. However, in order to use DL …
Deep learning based program generation from requirements text: Are we there yet?
To release developers from time-consuming software development, many approaches have
been proposed to generate source code automatically according to software requirements …
been proposed to generate source code automatically according to software requirements …
Suggesting accurate method and class names
Descriptive names are a vital part of readable, and hence maintainable, code. Recent
progress on automatically suggesting names for local variables tantalizes with the prospect …
progress on automatically suggesting names for local variables tantalizes with the prospect …
Towards automated reentrancy detection for smart contracts based on sequential models
In the last decade, smart contract security issues lead to tremendous losses, which has
attracted increasing public attention both in industry and in academia. Researchers have …
attracted increasing public attention both in industry and in academia. Researchers have …
API code recommendation using statistical learning from fine-grained changes
Learning and remembering how to use APIs is difficult. While code-completion tools can
recommend API methods, browsing a long list of API method names and their …
recommend API methods, browsing a long list of API method names and their …