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

Comparing Smart Contract Paradigms: A Preliminary Study of Security and Developer Experience

Matteo Vaccargiu, Andrea Pinna, Maria Ilaria Lunesu, Giuseppe Destefanis ยท 2026

Smart contract vulnerabilities have caused billions in financial losses, raising questions about whether programming language paradigms can reduce security overhead. While imperative languages like Soโ€ฆ

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Computer Science Preprint PDF DOI

Reproducible Automated Program Repair Is Hard -- Experiences With the Defects4J Dataset

Adam Krafczyk, Klaus Schmid ยท 2026

In the research of automated program repair (APR), benchmark datasets consisting of known defects in combination with test suites that indicate the defects are of high importance. They allow for an evโ€ฆ

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Computer Science Preprint PDF DOI

What Makes Software Bugs Escape Testing? Evidence from a Large-Scale Empirical Study

Domenico Cotroneo, Giuseppe De Rosa, Cristina Improta, Benedetta Gaia Varriale ยท 2026

Understanding how software defects manifest and evolve in production environments is critical for improving reliability. While previous research has largely focused on pre-release defects, the nature โ€ฆ

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Medicine & Health Preprint PDF DOI

Simulation of complex DNA damage enhancement and biological effect validation for Proton-CAT

Lang Dong, Dechao An, Junxiang Wu, Tianle Wang, Zhao Sun, Jiajun Kang, Xianliang Wang, Lintao Li, Shun Lu, Tianli Qiu, Da Zhang, Zhencen He, Zhimin Hu ยท 2026

Proton therapy has been rapidly advancing due to its excellent conformal index, but its relatively low relative biological effect (RBE) has somewhat limited its therapeutic efficacy for certain tumorsโ€ฆ

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Physics Preprint PDF DOI

Development of a compact cryogenic Penning trap with permanent magnets: An intermediate step toward the Shanghai Penning Trap

Tianhang Zhang, Jiawei Wang, Jialin Liu, Jingtian Wei, Jiaxuan Ji, Jifei Wu, Zichen Su, Yiming Xie, Liangyu Huang, Ke Yao, Yang Shen, Yaming Zou, Baoren Wei, Bingsheng Tu ยท 2026

Penning traps, renowned for their unparalleled precision in determining fundamental properties such as mass and magnetic moments, are cornerstone instruments in modern physics. Their applications spanโ€ฆ

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Computer Science Preprint PDF DOI

DMRlib: Easy-coding and Efficient Resource Management for Job Malleability

Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Orti, Antonio J. Pena ยท 2026

Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. Hโ€ฆ

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Computer Science Preprint PDF DOI

TDD Governance for Multi-Agent Code Generation via Prompt Engineering

Tarlan Hasanli, Shahbaz Siddeeq, Bishwash Khanal, Pyry Kotilainen, Tommi Mikkonen, Pekka Abrahamsson ยท 2026

Large language models (LLMs) accelerate software development but often exhibit instability, non-determinism, and weak adherence to development discipline in unconstrained workflows. While test-driven โ€ฆ

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Physics Preprint PDF DOI

Probabilistic Condition, Decision and Path Coverage of Circuit-based Quantum Programs

Daniel Fortunato, Jose Campos, Rui Abreu ยท 2026

Coverage criteria play a central role in assessing test adequacy in classical software, yet their effectiveness for quantum programs remains poorly understood and largely unexplored. In this paper, weโ€ฆ

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Physics Preprint PDF DOI

Quo vadis, stochastic thermodynamics?

Jan Korbel, Artemy Kolchinsky, Sarah A.M. Loos, Gonzalo Manzano, Rosalba Garcia-Millan, Olga Movilla Miangolarra, Edgar Roldan ยท 2026

Stochastic thermodynamics is a framework for describing non-equilibrium processes at the level of fluctuating trajectories, where the state of a system evolves as a stochastic time series, allowing thโ€ฆ

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AI & Data Science Preprint PDF DOI

FunFace: Feature Utility and Norm Estimation for Face Recognition

Ziga Babnik, Fadi Boutros, Naser Damer, Deepak Kumar Jain, Peter Peer, Vitomir Struc ยท 2026

Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust and perform well in โ€ฆ

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Computer Science Preprint PDF DOI

Recommendations for Efficient and Responsible LLM Adoption within Industrial Software Development

Krishna Ronanki, Beatriz Cabrero-Daniel, Tomas Herda, Stefan Sitkovich, Jennifer Horkoff, Christian Berger ยท 2026

Context: Large language models (LLMs) are observed to have a significant positive impact on various software engineering (SE) activities. With improved accessibility, the adoption of powerful LLMs in โ€ฆ

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Physics Preprint PDF DOI

Leptoquarks and the Emergence of the Standard Model Gauge Group in a Self-Consistent Preon Model

Risto Raitio ยท 2026

We show that in a self-consistent preon model, where Standard Model quarks and leptons are three-body composites confined at a metacolor scale Lambda_cr ~ 10^14 GeV, both leptoquarks and the Standard โ€ฆ

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Computer Science Preprint PDF DOI

Graph Construction and Matching for Imperative Programs using Neural and Structural Methods

Arshad Beg, Diarmuid O'Donoghue, Rosemary Monahan ยท 2026

Reusing verification artefacts requires identifying structural and semantic similarities across programs and their specifications. In this paper, we focus on graph construction as a foundational step โ€ฆ

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AI & Data Science Preprint PDF DOI

Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control

Mahiro Nakao, Kazuhiro Takemoto ยท 2026

Large language models (LLMs) are increasingly considered for deployment as the control component of robotic health attendants, yet their safety in this context remains poorly characterized. We introduโ€ฆ

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Computer Science Preprint PDF DOI

PICKLES: a Natural Language Framework for Requirement Specification and Model-Based Testing

Maria Belen Rodriguez, Petra van den Bos ยท 2026

This paper combines methods from the fields of Model-Based Testing (MBT) and Behaviour-Driven Development (BDD) to define a testing approach with human-readable specifications and test cases, as in BDโ€ฆ

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Physics Preprint PDF DOI

aim2dat: A Python infrastructure for automated ab initio material modeling and data analysis

Holger-Dietrich Sa{ss}nick, Joshua Edzards, Timo Reents, Caterina Cocchi ยท 2026

The emergence of data-driven computational materials science offers unprecedented opportunities to explore complex material landscapes, complementing experimental research with the discovery of novel โ€ฆ

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Computer Science Preprint PDF DOI

Verification and Validation (V&V)-in-the-Loop for RISC-V Design: The Holistic Vision of BZL

Sajjad Ahmed, Alexander Kropotov, Roberto Ignacio Genovese, Bernat Homs, Eloi Merino, Francesco Urbani, Henrique Yano, Ivan Diaz, Joan Gracia Fernandez, Matteo Toselli, Muhammad Imran, Muhammad Abu Bakar Umar Haider Iqbal, Nadeem Yaseen, Quswar Abid, Shaista Cheema, Samuel Sanchez, Daniel Garcia, Joan Cabre, Mostafa Elyasi, Fernando Ayats, Miquel Moreto, Teresa Cervero, Oscar Palomar, Behzad Salami ยท 2026

The Barcelona Zetascale Lab (BZL) project aims to strengthening Europe's capacity in the design and manufacture of RISC-V based high-performance computing chips. In this context, we present a holisticโ€ฆ

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Mathematics Preprint PDF DOI

A stellated tetrahedron that is probably not Rupert

Tony Zeng ยท 2026

A convex polyhedron is Rupert if a hole can be cut into it (making its genus $1$) such that an identical copy of the polyhedron can pass through the hole. Resolving a conjecture of Jerrard-Wetzel-Yuanโ€ฆ

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Physics Preprint PDF DOI

Fundamental Physics, Existential Risks and Human Futures

Adrian Kent (Centre for Quantum Information, Foundations, DAMTP, University of Cambridge, Perimeter Institute for Theoretical Physics) ยท 2026

Over the past 25 years, I have been involved in some intriguing developments in the foundations of physics, exploring the quantum reality problem, the relationship between quantum theory and gravity aโ€ฆ

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AI & Data Science Preprint PDF DOI

AGEL-Comp: A Neuro-Symbolic Framework for Compositional Generalization in Interactive Agents

Mahnoor Shahid, Hannes Rothe ยท 2026

Large Language Model (LLM)-based agents exhibit systemic failures in compositional generalization, limiting their robustness in interactive environments. This work introduces AGEL-Comp, a neuro-symbolโ€ฆ

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