Miltiadis Allamanis
5 papers in the PaperMetrix corpus
Papers by this author
-
CODIT: Code Editing With Tree-Based Neural Models
2020 · IEEE Transactions on Software Engineering
The way developers edit day-to-day code tends to be repetitive, often using existing code elements. Many researchers have tried to automate repetitive code changes by learning from specific change templates which are applied to limited …
-
Simultaneous Missing Value Imputation and Structure Learning with Groups
2021 · arXiv (Cornell University)
Learning structures between groups of variables from data with missing values is an important task in the real world, yet difficult to solve. One typical scenario is discovering the structure among topics in the education …
-
Bimodal Modelling of Source Code and Natural Language
2015 · Edinburgh Research Explorer (University of Edinburgh)
We consider the problem of building probabilistic models that jointly model short natural language utterances and source code snippets. The aim is to bring together recent work on statistical modelling of source code and work …
-
Suggesting accurate method and class names
2015
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 of replicating that success with method and class names. However, …
-
Structured Neural Summarization
2018 · arXiv (Cornell University)
Summarization of long sequences into a concise statement is a core problem in natural language processing, requiring non-trivial understanding of the input. Based on the promising results of graph neural networks on highly structured data, …