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Software documentation is essential for program comprehension, developer onboarding, code review, and long-term maintenance. Yet producing quality documentation manually is time-consuming and frequently yields incomplete or inconsistent…

Software Engineering · Computer Science 2026-04-20 Afia Farjana , Zaiyu Cheng , Antonio Mastropaolo

AI tools, particularly large-scale language model (LLM) based applications such as ChatGPT, have the potential to simplify qualitative research. Through semi-structured interviews with seventeen participants, we identified challenges and…

Human-Computer Interaction · Computer Science 2025-05-14 He Zhang , Chuhao Wu , Jingyi Xie , Yao Lyu , Jie Cai , John M. Carroll

Large Language Models (LLMs) have gained significant attention in the software engineering community. Nowadays developers have the possibility to exploit these models through industrial-grade tools providing a handy interface toward LLMs,…

Software Engineering · Computer Science 2024-02-27 Rosalia Tufano , Antonio Mastropaolo , Federica Pepe , Ozren Dabić , Massimiliano Di Penta , Gabriele Bavota

Complementing natural language (NL) requirements with graphical models can improve stakeholders' communication and provide directions for system design. However, creating models from requirements involves manual effort. The advent of…

Software Engineering · Computer Science 2024-07-02 Alessio Ferrari , Sallam Abualhaija , Chetan Arora

Recently, large language models (LLMs) have been successfully applied to many fields, showing outstanding comprehension and reasoning capabilities. Despite their great potential, LLMs usually require dedicated pre-training and fine-tuning…

Networking and Internet Architecture · Computer Science 2024-12-31 Hao Zhou , Chengming Hu , Dun Yuan , Ye Yuan , Di Wu , Xi Chen , Hina Tabassum , Xue Liu

Current compiler optimization reports often present complex, technical information that is difficult for programmers to interpret and act upon effectively. This paper assesses the capability of large language models (LLM) to understand…

Programming Languages · Computer Science 2025-06-16 Peter Pirkelbauer , Chunhua Liao

The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People can now use natural language (i.e. prompts) to communicate…

Software Engineering · Computer Science 2023-12-21 Yu Cheng , Jieshan Chen , Qing Huang , Zhenchang Xing , Xiwei Xu , Qinghua Lu

Large Language Models (LLMs) are becoming increasingly competent across various domains, educators are showing a growing interest in integrating these LLMs into the learning process. Especially in software engineering, LLMs have…

Software Engineering · Computer Science 2025-02-04 Agrawal Naman , Ridwan Shariffdeen , Guanlin Wang , Sanka Rasnayaka , Ganesh Neelakanta Iyer

Large Language Models (LLMs) are revolutionizing Software Engineering (SE) by introducing innovative methods for tasks such as collecting requirements, designing software, generating code, and creating test cases, among others. This article…

Software Engineering · Computer Science 2024-05-06 Malik Abdul Sami , Zeeshan Rasheed , Muhammad Waseem , Zheying Zhang , Tomas Herda , Pekka Abrahamsson

Despite being introduced only a few years ago, Large Language Models (LLMs) are already widely used by developers for code generation. However, their application in automating other Software Engineering activities remains largely…

Software Engineering · Computer Science 2024-09-27 Aylton Almeida , Laerte Xavier , Marco Tulio Valente

With the rapid advance of machine learning (ML) technology, large language models (LLMs) are increasingly explored as an intelligent tool to generate program code from natural language specifications. However, existing evaluations of LLMs…

Software Engineering · Computer Science 2024-06-19 Tanha Miah , Hong Zhu

Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models (LLMs) to gain significant performance gains in various Natural Language Processing (NLP) tasks. This approach, which…

Computation and Language · Computer Science 2026-02-13 Munazza Zaib , Elaf Alhazmi

Natural Language Processing (NLP) for Requirements Engineering (RE) (NLP4RE) seeks to apply NLP tools, techniques, and resources to the RE process to increase the quality of the requirements. There is little research involving the…

Software Engineering · Computer Science 2023-07-17 Krishna Ronanki , Christian Berger , Jennifer Horkoff

Recently, the ChatGPT LLM has received great attention: it can be used as a bot for discussing source code, prompting it to suggest changes, provide descriptions or even generate code. Typical demonstrations generally focus on existing…

Software Engineering · Computer Science 2023-09-01 Haoye Tian , Weiqi Lu , Tsz On Li , Xunzhu Tang , Shing-Chi Cheung , Jacques Klein , Tegawendé F. Bissyandé

Large language models (LLMs) have shown remarkable performance on many different Natural Language Processing (NLP) tasks. Prompt engineering plays a key role in adding more to the already existing abilities of LLMs to achieve significant…

Computation and Language · Computer Science 2024-07-25 Shubham Vatsal , Harsh Dubey

The rapid emergence of generative AI models like Large Language Models (LLMs) has demonstrated its utility across various activities, including within Requirements Engineering (RE). Ensuring the quality and accuracy of LLM-generated output…

Software Engineering · Computer Science 2025-07-08 Krishna Ronanki , Simon Arvidsson , Johan Axell

Large language models (LLMs) require well-crafted prompts for effective use. Prompt engineering, the process of designing prompts, is challenging, particularly for non-experts who are less familiar with AI technologies. While researchers…

Human-Computer Interaction · Computer Science 2024-01-29 Zijie J. Wang , Aishwarya Chakravarthy , David Munechika , Duen Horng Chau

Using large language models (LLMs) for source code has recently gained attention. LLMs, such as Transformer-based models like Codex and ChatGPT, have been shown to be highly capable of solving a wide range of programming problems. However,…

Computation and Language · Computer Science 2023-06-27 Atsushi Shirafuji , Yutaka Watanobe , Takumi Ito , Makoto Morishita , Yuki Nakamura , Yusuke Oda , Jun Suzuki

This comprehensive review delves into the pivotal role of prompt engineering in unleashing the capabilities of Large Language Models (LLMs). The development of Artificial Intelligence (AI), from its inception in the 1950s to the emergence…

Computation and Language · Computer Science 2025-06-18 Banghao Chen , Zhaofeng Zhang , Nicolas Langrené , Shengxin Zhu

Recent breakthroughs in Large Language Models (LLMs), such as GPT-3 and Codex, now enable software developers to generate code based on a natural language prompt. Within computer science education, researchers are exploring the potential…

Computers and Society · Computer Science 2022-12-13 Stephen MacNeil , Andrew Tran , Juho Leinonen , Paul Denny , Joanne Kim , Arto Hellas , Seth Bernstein , Sami Sarsa
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