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Research shows that dialogue, the interactive process through which participants articulate their thinking, plays a central role in constructing shared understanding, coordinating action, and shaping learning outcomes in teams. Analysing…

$ $Large Language Models (LLMs) are being increasingly utilized in various applications, with code generations being a notable example. While previous research has shown that LLMs have the capability to generate both secure and insecure…

Large Language Models (LLMs) have recently been widely used for code generation. Due to the complexity and opacity of LLMs, little is known about how these models generate code. We made the first attempt to bridge this knowledge gap by…

Software Engineering · Computer Science 2024-05-24 Bonan Kou , Shengmai Chen , Zhijie Wang , Lei Ma , Tianyi Zhang

Large Language Models (LLMs) have emerged as coding assistants, capable of generating source code from natural language prompts. With the increasing adoption of LLMs in software development, academic research and industry based projects are…

Large Language Models (LLMs) have demonstrated exceptional performance in code generation tasks and have become indispensable programming assistants for developers. However, existing code generation benchmarks primarily assess the…

Software Engineering · Computer Science 2025-11-25 Peiding Wang , Li Zhang , Fang Liu , Lin Shi , Minxiao Li , Bo Shen , An Fu

Automatic code generation has gained significant momentum with the advent of Large Language Models (LLMs) such as GPT-4. Although many studies focus on improving the effectiveness of LLMs for code generation, very limited work tries to…

Software Engineering · Computer Science 2025-06-02 Melika Sepidband , Hamed Taherkhani , Song Wang , Hadi Hemmati

Generative Large Language Models (gLLMs), such as ChatGPT, are increasingly being used in communication research for content analysis. Studies show that gLLMs can outperform both crowd workers and trained coders, such as research…

Artificial Intelligence · Computer Science 2025-10-29 Daria Kravets-Meinke , Hannah Schmid-Petri , Sonja Niemann , Ute Schmid

Large Language Models (LLMs) are transforming programming practices, offering significant capabilities for code generation activities. While researchers have explored the potential of LLMs in various domains, this paper focuses on their use…

Software Engineering · Computer Science 2026-05-04 Deborah Etsenake , Meiyappan Nagappan

The advent of Large Language Models (LLMs) has introduced a new paradigm in Software Engineering (SE), with generative AI tools like ChatGPT gaining widespread adoption among developers. While ChatGPT's potential has been extensively…

Software Engineering · Computer Science 2026-02-19 Ruiyin Li , Peng Liang , Yifei Wang , Yangxiao Cai , Weisong Sun , Zengyang Li

Large language models (LLMs) have demonstrated impressive capabilities across various NLP tasks. Additionally, LLMs are also highly valuable in supporting software engineering tasks, particularly in the field of code generation. Automatic…

Software Engineering · Computer Science 2024-04-16 Zhijie Liu , Yutian Tang , Xiapu Luo , Yuming Zhou , Liang Feng Zhang

Large Language Model (LLM) assistants, such as ChatGPT, have emerged as potential alternatives to search methods for helping users navigate complex, feature-rich software. LLMs use vast training data from domain-specific texts, software…

Human-Computer Interaction · Computer Science 2024-02-14 Anjali Khurana , Hari Subramonyam , Parmit K Chilana

Large language models (LLMs) have shown great potential in automating significant aspects of coding by producing natural code from informal natural language (NL) intent. However, given NL is informal, it does not lend easily to checking…

Software Engineering · Computer Science 2024-10-04 Sarah Fakhoury , Aaditya Naik , Georgios Sakkas , Saikat Chakraborty , Shuvendu K. Lahiri

Instruction-tuned Language Models (ILMs) have become essential components of modern AI systems, demonstrating exceptional versatility across natural language and reasoning tasks. Among their most impactful applications is code generation,…

Software Engineering · Computer Science 2026-02-18 Zaiyu Cheng , Antonio Mastropaolo

Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scenarios. However, these studies mainly provide evaluations in…

Software Engineering · Computer Science 2024-03-19 Kailun Jin , Chung-Yu Wang , Hung Viet Pham , Hadi Hemmati

Large language models (LLMs) providing generative AI have become popular to support software engineers in creating, summarizing, optimizing, and documenting source code. It is still unknown how LLMs can support control engineers using…

Software Engineering · Computer Science 2023-05-26 Heiko Koziolek , Sten Gruener , Virendra Ashiwal

Large language models (LLMs) have become essential in software development, especially for issue resolution. However, despite their widespread use, significant challenges persist in the quality of LLM responses to issue resolution queries.…

Software Engineering · Computer Science 2025-02-26 Ramtin Ehsani , Sakshi Pathak , Preetha Chatterjee

Large language models offer new ways of empowering people to program robot applications-namely, code generation via prompting. However, the code generated by LLMs is susceptible to errors. This work reports a preliminary exploration that…

Robotics · Computer Science 2023-10-11 Juo-Tung Chen , Chien-Ming Huang

GitHub workflows or GitHub CI is a popular continuous integration platform that enables developers to automate various software engineering tasks by specifying them as workflows, i.e., YAML files with a list of jobs. However, engineering…

Software Engineering · Computer Science 2024-03-20 Xinyu Zhang , Siddharth Muralee , Sourag Cherupattamoolayil , Aravind Machiry

Leveraging LLMs for code generation is becoming increasingly common, as tools like ChatGPT can suggest method implementations with minimal input, such as a method signature and brief description. Empirical studies further highlight the…

Software Engineering · Computer Science 2025-02-26 Benedetta Donato , Leonardo Mariani , Daniela Micucci , Oliviero Riganelli

This draft paper presents a workflow for creating User Personas with Large Language Models, using the results of a Thematic Analysis of qualitative interviews. The proposed workflow uses improved prompting and a larger pool of Themes,…

Human-Computer Interaction · Computer Science 2023-10-11 Stefano De Paoli