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Deep Learning methods employ multiple processing layers to learn hierarchial representations of data. They have already been deployed in a humongous number of applications and have produced state-of-the-art results. Recently with the growth…

Computation and Language · Computer Science 2018-08-15 Sarvesh Patil

Large Language Models (LLMs) have shown much promise in powering a variety of software engineering (SE) tools. Offering natural language as an intuitive interaction mechanism, LLMs have recently been employed as conversational ``programming…

Software Engineering · Computer Science 2026-04-15 Jonan Richards

Companies struggle to continuously develop and deploy AI models to complex production systems due to AI characteristics while assuring quality. To ease the development process, continuous pipelines for AI have become an active research area…

Software Engineering · Computer Science 2023-01-24 Monika Steidl , Michael Felderer , Rudolf Ramler

The advancements in machine learning techniques have encouraged researchers to apply these techniques to a myriad of software engineering tasks that use source code analysis, such as testing and vulnerability detection. Such a large number…

Software Engineering · Computer Science 2022-09-14 Tushar Sharma , Maria Kechagia , Stefanos Georgiou , Rohit Tiwari , Indira Vats , Hadi Moazen , Federica Sarro

Our research investigates how Natural Language Processing (NLP) can be used to extract main topics from a larger corpus of written data, as applied to the case of identifying signaling themes in Presidential Directives (PDs) from the Reagan…

Computation and Language · Computer Science 2025-11-14 C. LeMay , A. Lane , J. Seales , M. Winstead , S. Baty

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

Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret source code and natural language instructions. These emergent…

Automated documentation of programming source code is a challenging task with significant practical and scientific implications for the developer community. We present a large language model (LLM)-based application that developers can use…

Software Engineering · Computer Science 2025-12-17 Sayak Chakrabarty , Souradip Pal

This survey examines the rapidly evolving field of Deep Research systems -- AI-powered applications that automate complex research workflows through the integration of large language models, advanced information retrieval, and autonomous…

Artificial Intelligence · Computer Science 2025-06-17 Renjun Xu , Jingwen Peng

Generative artificial intelligence attracts significant attention, especially with the introduction of large language models. Its capabilities are being exploited to solve various software engineering tasks. Thanks to their ability to…

Software Engineering · Computer Science 2026-02-06 Lukas Radosky , Ivan Polasek

The advent of large language models (LLMs) has significantly advanced artificial intelligence (AI) in software engineering (SE), with source code embeddings playing a crucial role in tasks such as source code clone detection and source code…

Software Engineering · Computer Science 2025-06-04 Zixiang Xian , Chenhui Cui , Rubing Huang , Chunrong Fang , Zhenyu Chen

The integration of artificial intelligence (AI) continues to increase and evolve, including in software engineering (SE). This integration involves processes traditionally entrusted to humans, such as coding. However, the impact on…

Software Engineering · Computer Science 2025-01-07 Adam Alami , Neil A. Ernst

Natural language (NL) to code suggestion systems assist developers in Integrated Development Environments (IDEs) by translating NL utterances into compilable code snippet. The current approaches mainly involve hard-coded, rule-based systems…

Software Engineering · Computer Science 2024-02-13 Mitodru Niyogi

Large Language Models (LLMs) have revolutionized programming and software engineering. AI programming assistants such as GitHub Copilot X enable conversational programming, narrowing the gap between human intent and code generation.…

We propose using natural language outlines as a novel modality and interaction surface for providing AI assistance to developers throughout the software development process. An NL outline for a code function comprises multiple statements…

Boosted by deep learning, natural language processing (NLP) techniques have recently seen spectacular progress, mainly fueled by breakthroughs both in representation learning with word embeddings (e.g. word2vec) as well as novel…

Networking and Internet Architecture · Computer Science 2022-07-26 Zied Ben Houidi , Dario Rossi

In recent years, the rise of AI-assisted code-generation tools has significantly transformed software development. While code generators have mainly been used to support conventional software development, their use will be extended to…

Software Engineering · Computer Science 2024-12-17 Simon Torka , Sahin Albayrak

Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions. This…

Computation and Language · Computer Science 2025-10-28 Juyong Jiang , Fan Wang , Jiasi Shen , Sungju Kim , Sunghun Kim

AI Tool is a large language model (LLM) designed to generate human-like responses in natural language conversations. It is trained on a massive corpus of text from the internet, which allows it to leverage a broad understanding of language,…

Human-Computer Interaction · Computer Science 2023-08-22 Hitesh Mohapatra , Soumya Ranjan Mishra

Over the last several decades, software has been woven into the fabric of every aspect of our society. As software development surges and code infrastructure of enterprise applications ages, it is now more critical than ever to increase…