Add to ORKGStudy whether code generation works in the large. ∗This work has been published at ITP 2011[3]. We acknowledge funding from DFG grants Sn11/10-1,2 and DFG doctorate program 1480 (PUMA). Validate the semantics by running test programs from test suites such a
Code generation is a longstanding challenge, aiming to generate a code snippet based on a natural la...
MDE (Model Driven Engineering) is an approach to software engineering centred around modeling. Code ...
International audienceThe intensive use of generative programming techniques provides an elegant eng...
Large companies suffer from the increasing complexity that exist in their software systems. Evolving...
Code generation model generates code by taking a prompt from a code comment, existing code, or a com...
Code generation is an important part of today’s software development. Using code generation can incr...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Using AI to support programming has recently gained a lot of popularity. Researchers have been devel...
Automatically generating effective test suites promises a significant impact on testing practice by ...
The programming exercises were automatically generated by the Digital Teaching Assistant (DTA) syste...
These are datasets for the paper: "A Systematic Evaluation of Large Language Models of Code" https...
This article explores the natural language generation capabilities of large language models with app...
Owing to an abundance of software libraries originating from a wide range of application programming...
This report documents the program and the outcomes of Dagstuhl Seminar 15472 "Programming with "Big ...
Lately, Large Language Models have been widely used in code generation. GPT4 is considered the most ...
Code generation is a longstanding challenge, aiming to generate a code snippet based on a natural la...
MDE (Model Driven Engineering) is an approach to software engineering centred around modeling. Code ...
International audienceThe intensive use of generative programming techniques provides an elegant eng...
Large companies suffer from the increasing complexity that exist in their software systems. Evolving...
Code generation model generates code by taking a prompt from a code comment, existing code, or a com...
Code generation is an important part of today’s software development. Using code generation can incr...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Using AI to support programming has recently gained a lot of popularity. Researchers have been devel...
Automatically generating effective test suites promises a significant impact on testing practice by ...
The programming exercises were automatically generated by the Digital Teaching Assistant (DTA) syste...
These are datasets for the paper: "A Systematic Evaluation of Large Language Models of Code" https...
This article explores the natural language generation capabilities of large language models with app...
Owing to an abundance of software libraries originating from a wide range of application programming...
This report documents the program and the outcomes of Dagstuhl Seminar 15472 "Programming with "Big ...
Lately, Large Language Models have been widely used in code generation. GPT4 is considered the most ...
Code generation is a longstanding challenge, aiming to generate a code snippet based on a natural la...
MDE (Model Driven Engineering) is an approach to software engineering centred around modeling. Code ...
International audienceThe intensive use of generative programming techniques provides an elegant eng...