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Showing 182110 results for "program development"
Computer Science Preprint PDF DOI

Statistical Software Engineering with Tuned Variables

Nimrod Busany ยท 2026

The maintained artifact in an AI-enabled system is not code plus settings, but a versioned governed program space: domains, structural constraints, eligibility, evaluation assets, and a statistical reโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Modeling Utah FORGE 2022 EGS Hydraulic Stimulations: Tensile Hydraulic Fractures versus Fluid-Induced Dilatant Shear Ruptures

Sylvain Brisson, Brice Lecampion ยท 2026

We investigate two hydraulic stimulation stages performed in April 2022 at the Utah FORGE enhanced geothermal system test site using analytical and numerical models for tensile hydraulic fractures andโ€ฆ

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AI & Data Science Preprint PDF DOI

AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum

Jiaqi Li, Lvyang Zhang, Yang Zhao, Wen Lu, Lidong Zhai ยท 2026

What does it mean to give an AI agent a complete education? Current agent development produces specialists systems optimized for a single capability dimension, whether tool use, code generation, or seโ€ฆ

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Computer Science Preprint PDF DOI

MASFuzzer: Fuzz Driver Generation and Adaptive Scheduling via Multidimensional API Sequences

Xingyu Liu, Zengqin Huang, Xiang Gao, Hailong Sun ยท 2026

Fuzz testing of software libraries relies on fuzz drivers to invoke library APIs. Traditionally, these drivers are written manually by developers - a process that is time-consuming and often inadequatโ€ฆ

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AI & Data Science Preprint PDF DOI

Identifying Ethical Biases in Action Recognition Models

Ana Baltaretu, Pascal Benschop, Jan van Gemert ยท 2026

Human Action Recognition (HAR) models are increasingly deployed in high-stakes environments, yet their fairness across different human appearances has not been analyzed. We introduce a framework for aโ€ฆ

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Physics Preprint PDF DOI

Advances in photocathode development for PICOSEC Micromegas precise-timing detectors

M. Lisowska, F. Guerra, A. Gurpinar, D. Zavazieva, R. Aleksan, S. Aune, J. Bortfeldt, A. Breskin, F. M. Brunbauer, M. Brunold, J. Datta, G. Fanourakis, S. Ferry, K. J. Floethner, M. Gallinaro, F. Garcia, I. Giomataris, D. Janssens, E. Jelinkova, A. Kallitsopoulou, I. Karakoulias, M. Kovacic, P. Legou, J. Liu, M. Lupberger, D. J. G. Marques, Y. Meng, H. Muller, R. De Oliveira, E. Oliveri, T. Papaevangelou, M. Pomorski, L. Ropelewski, D. Sampsonidis, T. Schneider, B. Schoenfelder, E. Scorsone, M. van Stenis, Y. Tsipolitis, S. Tzamarias, A. Utrobicic, I. Vai, R. Veenhof, L. Viezzi, P. Vitulo, X. Wang, S. White, Z. Zhang, Y. Zhou ยท 2026

The PICOSEC Micromegas detector is a precise-timing gaseous detector that combines a Cherenkov radiator, a semi-transparent photocathode and a Micromegas amplification stage, targeting time resolutionโ€ฆ

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Computer Science Preprint PDF DOI

RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs

Parteek Jamwal, Minghao Shao, Boyuan Chen, Achyuta Muthuvelan, Asini Subanya, Boubacar Ballo, Kashish Satija, Mariam Shafey, Mohamed Mahmoud, Moncif Dahaji Bouffi, Pasindu Wickramasinghe, Siyona Goel, Yaakulya Sabbani, Hakim Hacid, Mthandazo Ndhlovu, Eleanna Kafeza, Sanjay Rawat, Muhammad Shafique ยท 2026

Large Language Models (LLMs) have demonstrated remarkable capabilities across various cybersecurity tasks, including vulnerability classification, detection, and patching. However, their potential in โ€ฆ

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Computer Science Preprint PDF DOI

Empowering Vocabulary Learning Through Teaching AI: Using LLMs as a Student to Perform Learning by Teaching in Vocabulary Acquisition

Tokio Uchida, Ko Watanabe, Andrew Vargo, Shoya Ishimaru, Ralph L. Rose, Ayaka Sugawara, Andreas Dengel, Koichi Kise ยท 2026

"Learning by Teaching (LbT)" helps learners deepen their understanding by explaining concepts to others, with questions playing a vital role in identifying knowledge gaps and reinforcing comprehensionโ€ฆ

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Computer Science Preprint PDF DOI

Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer

Tianfu Wang, Zhezheng Hao, Yin Wu, Wei Wu, Qiang Lin, Hande Dong, Nicholas Jing Yuan, Hui Xiong ยท 2026

Vibe coding produces correct, executable code at speed, but leaves no record of the structural commitments, dependencies, or evidence behind it. Reviewers cannot determine what invariants were assumedโ€ฆ

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Computer Science Preprint PDF DOI

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research

Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzon Hernandez, Reza Yazdanfar, Michelle Dugas, Renos Vakis ยท 2026

General-purpose LLMs pose misinformation risks for development and policy experts, lacking epistemic humility for verifiable outputs. We present AVA (AI + Verified Analysis), a GenAI platform built onโ€ฆ

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Computer Science Preprint PDF DOI

Raven: Rethinking Automated Assessment for Scratch Programs via Video-Grounded Evaluation

Donglin Li, Daming Li, Hanyuan Shi, Jialu Zhang ยท 2026

Block-based programming environments such as Scratch are widely used in introductory computing education, yet scalable and reliable automated assessment remains elusive. Scratch programs are highly heโ€ฆ

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Computer Science Preprint PDF DOI

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots

Shiquan Zhang, Tianyi Zhang, Le Fang, Simon D'Alfonso, Hong Jia, Vassilis Kostakos ยท 2026

With the rapid advancement of large language models (LLMs), mobile agents have emerged as promising tools for phone automation, simulating human interactions on screens to accomplish complex tasks. Hoโ€ฆ

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Computer Science Preprint PDF DOI

Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective

Meifang Chen, Zhe Yang, Huang Nianchen, Yizhan Huang, Yichen Li, Zihan Li, Michael R. Lyu ยท 2026

Code secrets are sensitive assets for software developers, and their leakage poses significant cybersecurity risks. While the rapid development of AI code assistants powered by Code Large Language Modโ€ฆ

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Computer Science Preprint PDF DOI

Party Autonomy in Determining the Law Applicable to Non-contractual Obligations concerning Cross-Border Data Transfers

Yuki Okamura, Ren Yatsunami, Kumiko Kameishi, Oliver Posani, Soma Araoka, Miho Ikeda, Makiko Aoyagi ยท 2026

(1)Cross-border data transfers have become a matter of daily occurrence against the backdrop of the development of cloud computing and artificial intelligence. Consequently, where a data leak gives riโ€ฆ

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Engineering Preprint PDF DOI

Trajectory-Based Optimization for Air Traffic Control in the Terminal Maneuvering Area

Yutian Pang, Daniel Delahaye, John-Paul Clarke ยท 2026

We present a trajectory-based optimization framework for arrival sequencing and scheduling in the terminal maneuvering area (TMA). Unlike node-link scheduling models that reduce trajectories to time-dโ€ฆ

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Computer Science Preprint PDF DOI

A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development

Mohammed Kharma, Ahmed Sabbah, Radi Jarrar, Samer Zain, Mohammad Alkhanafseh, David Mohaisen ยท 2026

This paper presents a controlled quasi-experimental developer study examining whether a layer-based security training package is associated with improved security quality in LLM-assisted implementatioโ€ฆ

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Computer Science Preprint PDF DOI

SDLLMFuzz: Dynamic-static LLM-assisted greybox fuzzing for structured input programs

Yihao Zou, Tianming Zheng, Futai Zou, Yue Wu ยท 2026

Fuzzing has become a widely adopted technique for vulnerability discovery, yet it remains ineffective for structured-input programs due to strict syntactic constraints and limited semantic awareness. โ€ฆ

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Physics Preprint PDF DOI

Seed Layer Engineering for Effective Charge Transfer Doping of MoS$_2$ Transistors

Sahej Sharma, Shao-Heng Yang, Himani Jawa, Rana Yuvraj, Bach Nguyen, Chang Niu, Shiva Radhakrishnan, Shalini Tripathi, Dennis Lin, Cesar Javier Lockhart de la Rosa, Pierre Morin, Dmitry Zemlyanov, Francesca Iacopi, Zhihong Chen, Joerg Appenzeller, Thomas E. Beechem ยท 2026

Integrating two-dimensional semiconductors such as MoS$_2$ with dielectric materials remains a central challenge for their use in future logic technologies. While seed layers are typically introduced โ€ฆ

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Computer Science Preprint PDF DOI

Revisiting Code Debloating with Ground Truth-based Evaluation

Muhammad Bilal, Moiz Ali, Mohit Kumar, Fareed Zaffar, Fahad Shaon, Ashish Gehani, Sazzadur Rahaman ยท 2026

Program debloating aims to remove unused code to reduce performance overhead, attack surfaces, and maintenance costs. Over time, debloating has evolved across multiple layers (container, library, and โ€ฆ

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Computer Science Preprint PDF DOI

Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics

Khang Tran, Khoa Nguyen, Cristian Borcea, NhatHai Phan ยท 2026

Recent advances in large language models for test case generation have improved branch coverage via prompt-engineered mutations. However, they still lack principled mechanisms for steering models towaโ€ฆ

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