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Perfection not required? Human-AI partnerships in code translation
Generative models have become adept at producing artifacts such as images, videos, and
prose at human-like levels of proficiency. New generative techniques, such as unsupervised …
prose at human-like levels of proficiency. New generative techniques, such as unsupervised …
Code completion by modeling flattened abstract syntax trees as graphs
Code completion has become an essential component of integrated development
environments. Contemporary code completion methods rely on the abstract syntax tree …
environments. Contemporary code completion methods rely on the abstract syntax tree …
Seqtrans: automatic vulnerability fix via sequence to sequence learning
Software vulnerabilities are now reported unprecedentedly due to the recent development of
automated vulnerability hunting tools. However, fixing vulnerabilities still mainly depends on …
automated vulnerability hunting tools. However, fixing vulnerabilities still mainly depends on …
Setransformer: A transformer-based code semantic parser for code comment generation
Automated code comment generation technologies can help developers understand code
intent, which can significantly reduce the cost of software maintenance and revision. The …
intent, which can significantly reduce the cost of software maintenance and revision. The …
Learning to parallelize in a shared-memory environment with transformers
In past years, the world has switched to multi and many core shared memory architectures.
As a result, there is a growing need to utilize these architectures by introducing shared …
As a result, there is a growing need to utilize these architectures by introducing shared …
Hierarchical semantic-aware neural code representation
Y Jiang, X Su, C Treude, T Wang - Journal of Systems and Software, 2022 - Elsevier
Code representation is a fundamental problem in many software engineering tasks. Despite
the effort made by many researchers, it is still hard for existing methods to fully extract …
the effort made by many researchers, it is still hard for existing methods to fully extract …
Regminer: towards constructing a large regression dataset from code evolution history
Bug datasets lay significant empirical and experimental foundation for various SE/PL
researches such as fault localization, software testing, and program repair. Current well …
researches such as fault localization, software testing, and program repair. Current well …
[PDF][PDF] How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.
Generative AI models are capable of creating high-fidelity outputs, sometimes
indistinguishable from what could be produced by human effort. However, some domains …
indistinguishable from what could be produced by human effort. However, some domains …
Pragformer: data-driven parallel source code classification with transformers
Multi-core shared memory architectures have become ubiquitous in computing hardware
nowadays. As a result, there is a growing need to fully utilize these architectures by …
nowadays. As a result, there is a growing need to fully utilize these architectures by …
PragFormer: Data-driven Parallel Source Code Classification with Transformers
Multi-core shared memory architectures have become ubiquitous in computing hardware
nowadays. As a result, there is a growing need to fully utilize these architectures by …
nowadays. As a result, there is a growing need to fully utilize these architectures by …