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Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …
management of software applications underpinning the digital infrastructure of our modern …
Source code summarization in the era of large language models
To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …
automatic (source) code summarization techniques have been proposed to generate a …
A catalog of data smells for coding tasks
Large Language Models (LLMs) are increasingly becoming fundamental in supporting
software developers in coding tasks. The massive datasets used for training LLMs are often …
software developers in coding tasks. The massive datasets used for training LLMs are often …
Search-based llms for code optimization
The code written by developers usually suffers from efficiency problems and contain various
performance bugs. These inefficiencies necessitate the research of automated refactoring …
performance bugs. These inefficiencies necessitate the research of automated refactoring …
Automatic programming: Large language models and beyond
Automatic programming has seen increasing popularity due to the emergence of tools like
GitHub Copilot which rely on Large Language Models (LLMs). At the same time …
GitHub Copilot which rely on Large Language Models (LLMs). At the same time …
Scale: Constructing structured natural language comment trees for software vulnerability detection
Recently, there has been a growing interest in automatic software vulnerability detection.
Pre-trained model-based approaches have demonstrated superior performance than other …
Pre-trained model-based approaches have demonstrated superior performance than other …
[PDF][PDF] Do neutral prompts produce insecure code? formai-v2 dataset: Labelling vulnerabilities in code generated by large language models
This study provides a comparative analysis of state-of-the-art large language models
(LLMs), analyzing how likely they generate vulnerabilities when writing simple C programs …
(LLMs), analyzing how likely they generate vulnerabilities when writing simple C programs …
A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How
API suggestion is a critical task in modern software development, assisting programmers by
predicting and recommending third-party APIs based on the current context. Recent …
predicting and recommending third-party APIs based on the current context. Recent …
How secure is AI-generated code: a large-scale comparison of large language models
This study compares state-of-the-art Large Language Models (LLMs) on their tendency to
generate vulnerabilities when writing C programs using a neutral zero-shot prompt. Tihanyi …
generate vulnerabilities when writing C programs using a neutral zero-shot prompt. Tihanyi …