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Predicting program behavior and reasoning about code execution remain significant challenges in software engineering, particularly for large language models (LLMs) designed for code analysis. While these models excel at understanding static…

Software Engineering · Computer Science 2025-02-11 Cuong Chi Le , Hoang-Chau Truong-Vinh , Huy Nhat Phan , Dung Duy Le , Tien N. Nguyen , Nghi D. Q. Bui

Programming is a powerful and ubiquitous problem-solving tool. Developing systems that can assist programmers or even generate programs independently could make programming more productive and accessible, yet so far incorporating…

Writing documentation about software internals is rarely considered a rewarding activity. It is highly time-consuming and the resulting documentation is fragile when the software is continuously evolving in a multi-developer setting.…

Software Engineering · Computer Science 2013-11-13 Tobias Kuhn , Alexandre Bergel

Singing voice conversion (SVC) aims to render the target singer's timbre while preserving melody and lyrics. However, existing zero-shot SVC systems remain fragile in real songs due to harmony interference, F0 errors, and the lack of…

The widespread adoption of AI-assisted development in scientific software is not a future concern -- it is a present reality. Researchers are already using large language models to write code, generate test cases, and draft documentation,…

Software Engineering · Computer Science 2026-05-19 Chaitanya Bhave , Pierre-Clément A. Simon , Casey Icenhour , Lin Yang , Cody J. Permann , Daniel Schwen

Paper addresses the process of dynamic data flow analysis using virtual code integration (VCI), often refered to as dynamic binary rewriting. This article will try to demonstrate all of the techniques that were applied in the SpiderPig…

Cryptography and Security · Computer Science 2009-06-04 Piotr Bania

Mobile applications play an important role in the economy today and there is an increasing trend for app enablement on multiple platforms. However, creating, distributing, and maintaining an application remain expert tasks. Even for…

Software Engineering · Computer Science 2022-10-05 Chuhao Wu , Jose Miguel Perez-Alvarez , Adrian Mos , John M. Carroll

This paper introduces the unsupervised learning problem of playable video generation (PVG). In PVG, we aim at allowing a user to control the generated video by selecting a discrete action at every time step as when playing a video game. The…

Computer Vision and Pattern Recognition · Computer Science 2021-01-29 Willi Menapace , Stéphane Lathuilière , Sergey Tulyakov , Aliaksandr Siarohin , Elisa Ricci

Visual Prompting (VP), an efficient method for transfer learning, has shown its potential in vision tasks. However, previous works focus exclusively on VP from standard source models, it is still unknown how it performs under the scenario…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Qi Li , Liangzhi Li , Zhouqiang Jiang , Bowen Wang , Keke Tang

The increasing use of information technology has led to a significant share of energy consumption and carbon emissions from data centers. These contributions are expected to rise with the growing demand for big data analytics, increasing…

Video chroma-lux editing, which aims to modify illumination and color while preserving structural and temporal fidelity, remains a significant challenge. Existing methods typically rely on expensive supervised training with synthetic paired…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Yifan Li , Pei Cheng , Bin Fu , Shuai Yang , Jiaying Liu

This paper introduces a practical learned video codec. Conditional coding and quantization gain vectors are used to provide flexibility to a single encoder/decoder pair, which is able to compress video sequences at a variable bitrate. The…

Neural and Evolutionary Computing · Computer Science 2021-04-21 Théo Ladune , Pierrick Philippe , Wassim Hamidouche , Lu Zhang , Olivier Déforges

This paper presents verification-guided development (VGD), a software engineering process we used to build Cedar, a new policy language for expressive, fast, safe, and analyzable authorization. Developing a system with VGD involves writing…

One of the most significant challenges in the field of software code auditing is the presence of vulnerabilities in software source code. Every year, more and more software flaws are discovered, either internally in proprietary code or…

Cryptography and Security · Computer Science 2023-06-16 Mst Shapna Akter , Hossain Shahriar , Juan Rodriguez Cardenas , Sheikh Iqbal Ahamed , Alfredo Cuzzocrea

While not yet in commercial existence, quantum computers have the ability to solve certain classes of problems that are not efficiently solvable on existing Turing Machine based (classical) computers. For quantum computers to be of use,…

Programming Languages · Computer Science 2009-11-13 Matt Purkeypile

We study the problem of generating source code in a strongly typed, Java-like programming language, given a label (for example a set of API calls or types) carrying a small amount of information about the code that is desired. The generated…

Programming Languages · Computer Science 2018-04-16 Vijayaraghavan Murali , Letao Qi , Swarat Chaudhuri , Chris Jermaine

Speeding up development may produce technical debt, i.e., not-quite-right code for which the effort to make it right increases with time as a sort of interest. Developers may be aware of the debt as they admit it in their code comments.…

Software Engineering · Computer Science 2022-05-05 Barbara Russo , Matteo Camilli , Moritz Mock

Software sustainability is emerging as a primary concern, aiming to optimize resource utilization, minimize environmental impact, and promote a greener, more resilient digital ecosystem. The sustainability or "greenness" of software is…

Software Engineering · Computer Science 2025-06-11 Samarth Sikand , Rohit Mehra , Vibhu Saujanya Sharma , Vikrant Kaulgud , Sanjay Podder , Adam P. Burden

End-user development,where non-programmers create or adapt their own digital tools, can play a key role in driving digital transformation within organizations. Currently, low-code/no-code platforms are widely used to enable end-user…

Machine Learning · Computer Science 2025-12-08 Irene Weber

Currently, while software engineers write code for various modules, quite often, various types of errors - coding, logic, semantic, and others (most of which are not caught by compilation and other tools) get introduced. Some of these bugs…

Software Engineering · Computer Science 2020-04-28 Anshul Tanwar , Krishna Sundaresan , Parmesh Ashwath , Prasanna Ganesan , Sathish Kumar Chandrasekaran , Sriram Ravi
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