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Computer Science Preprint PDF DOI

Leveraging Commit Size Context and Hyper Co-Change Graph Centralities for Defect Prediction

Amit Kumar, Ethari Hrishikesh, Sonali Agarwal ยท 2026

File-level defect prediction models traditionally rely on product and process metrics. While process metrics effectively complement product metrics, they often overlook commit size the number of filesโ€ฆ

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Computer Science Preprint PDF DOI

Obfuscating Code Vulnerabilities against Static Analysis in JavaScript Code

Francesco Pagano, Lorenzo Pisu, Leonardo Regano, Davide Maiorca, Alessio Merlo, Giorgio Giacinto ยท 2026

Code obfuscation is widely adopted in modern software development to protect intellectual property and hinder reverse engineering, but it also provides attackers with a powerful means to conceal malicโ€ฆ

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Computer Science Preprint PDF DOI

Multi-Agent LLM Governance for Safe Two-Timescale Reinforcement Learning in SDN-IoT Defense

Saeid Jamshidi, Negar Shahabi, Foutse Khomh, Carol Fung, Mohammad Hamdaqa ยท 2026

Software-Defined Networking (SDN) is increasingly adopted to secure Internet-of-Things (IoT) networks due to its centralized control and programmable forwarding. However, SDN-IoT defense is inherentlyโ€ฆ

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Engineering Preprint PDF DOI

A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models

Aricia Rinkens, Rodrigo L. S. Silva, Erik Quaeghebeur, Nick Jaensson, Clemens Verhoosel ยท 2026

Employing Bayesian inference to calibrate constitutive model parameters has grown substantially in recent years. Among the available techniques, Markov Chain Monte Carlo (MCMC) sampling remains one ofโ€ฆ

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Computer Science Preprint PDF DOI

Harnessing Hype to Teach Empirical Thinking: An Experience With AI Coding Assistants

Marvin Wyrich, Norman Peitek, Kallistos Weis, Sven Apel ยท 2026

Software engineering students often struggle to appreciate empirical methods and hypothesis-driven inquiry, especially when taught in theoretical terms. This experience report explores whether groundiโ€ฆ

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AI & Data Science Preprint PDF DOI

Adversarial Moral Stress Testing of Large Language Models

Saeid Jamshidi, Foutse Khomh, Arghavan Moradi Dakhel, Amin Nikanjam, Mohammad Hamdaqa, Kawser Wazed Nafi ยท 2026

Evaluating the ethical robustness of large language models (LLMs) deployed in software systems remains challenging, particularly under sustained adversarial user interaction. Existing safety benchmarkโ€ฆ

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Computer Science Preprint PDF DOI

Automated Generation of Cybersecurity Exercise Scenarios

Charilaos Skandylas, Mikael Asplund ยท 2026

There is a growing need for cybersecurity professionals with practical knowledge and experience to meet societal needs and comply with new standards and regulations. At the same time, the advances in โ€ฆ

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Computer Science Preprint PDF DOI

A Visionary Look at Vibe Researching

Yebo Feng, Yang Liu ยท 2026

Vibe researching is an emerging paradigm in which human researchers provide high-level direction and critical judgment while LLM-based agents handle the labor-intensive execution of literature review,โ€ฆ

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Computer Science Preprint PDF DOI

Portable and Secure CI/CD for COBOL: Lessons from an Industrial Migration

Andreas Askholm, Kenneth Johnsen, Jacopo Mauro ยท 2026

Continuous integration and delivery (CI/CD) pipelines are critical for sustaining the evolution of large software systems. In regulated industries with legacy technologies, however, pipelines themselvโ€ฆ

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Computer Science Preprint PDF DOI

Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time

Razvan Mihai Popescu, David Gros, Andrei Botocan, Rahul Pandita, Prem Devanbu, Maliheh Izadi ยท 2026

The rise of large language models for code has reshaped software development. Autonomous coding agents, able to create branches, open pull requests, and perform code reviews, now actively contribute tโ€ฆ

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AI & Data Science Preprint PDF DOI

On the approximation of the between-set correlation matrix by canonical correlation analysis

Jan Graffelman ยท 2026

Canonical correlation analysis is a classic well-known multivariate statistical method focusing on the relationships between two sets of variables. The visualisation of those relationships can be achiโ€ฆ

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Computer Science Preprint PDF DOI

Reliability of Large Language Models for Design Synthesis: An Empirical Study of Variance, Prompt Sensitivity, and Method Scaffolding

Rabia Iftikhar, Andreas Rausch ยท 2026

Large Language Models (LLMs) are increasingly applied to automate software engineering tasks, including the generation of UML class diagrams from natural language descriptions. While prior work demonsโ€ฆ

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Physics Preprint PDF DOI

A MIDAS-based Data Acquisition System for Gaseous Detectors

Yuanchun Liu, Tao Li, Yu Chen, Ke Han, Leyan Li, Shaobo Wang, Wei Wang ยท 2026

We present a data acquisition~(DAQ) software based on the MIDAS framework, specifically for gaseous detectors to support the detector deployments and applications. It implements a comprehensive suite โ€ฆ

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Computer Science Preprint PDF DOI

Yet Even Less Is Even Better For Agentic, Reasoning, and Coding LLMs

CodeArts Model Team: Yang Ye, Jingyuan Tan, Tianyue Jiang, Ruizhe Ye, Qiankun He, Jiarui Yang, Jian Dong, Sicong Liang, Chongjian Yue, Peibai Xu, Lufan Lu, Shiguan Pang, Taotao Qian, Junbao Hu, Yuechan Hao, Ensheng Shi, Qi Zhang, Yi Hao, Na Fan, Xin Tan, Shuai Yao, Zhiwei Shen, Zongchen Li, Yanlin Wang, Chong Chen, Yuchi Ma ยท 2026

Training effective software engineering agents requires large volumes of task-specific trajectories, incurring substantial data construction costs. Inspired by the "Less-Is-More" hypothesis in mathemaโ€ฆ

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Computer Science Preprint PDF DOI

The Rise of Language Models in Mining Software Repositories: A Survey

Miguel Romero-Arjona, Saman Barakat, Ana B. Sanchez, Sergio Segura ยท 2026

The Mining Software Repositories (MSR) field focuses on analysing the rich data contained in software repositories to derive actionable insights into software processes and products. Mining repositoriโ€ฆ

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Computer Science Preprint PDF DOI

Quantum-Safe Code Auditing: LLM-Assisted Static Analysis and Quantum-Aware Risk Scoring for Post-Quantum Cryptography Migration

Animesh Shaw ยท 2026

The impending arrival of cryptographically relevant quantum computers (CRQCs) threatens the security foundations of modern software: Shor's algorithm breaks RSA, ECDSA, ECDH, and Diffie-Hellman, whileโ€ฆ

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Engineering Preprint PDF DOI

Star-Tracker-Constrained Attitude MPC for CubeSats

Dominik Beno, Patrik Valabek, Martin Hromcik, Martin Klauco ยท 2026

This paper presents an online linear model predictive control (MPC) framework for slew maneuvers that maintains star-tracker availability during ground-target tracking. The nonlinear rigid-body dynamiโ€ฆ

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Physics Preprint PDF DOI

Twists in the flow: revisiting convective mixing in rotating stellar models. I. Effect on the stellar structure

Poojan Agrawal, Aaron Dotter, Conny Aerts, Leila Bessila, Stephane Mathis ยท 2026

Convection and rotation are both key processes in stellar evolution modelling. While standard mixing-length theory (MLT) provides a widely used modelling of convection, it neglects the effects of rotaโ€ฆ

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Computer Science Preprint PDF DOI

Programming by Chat: A Large-Scale Behavioral Analysis of 11,579 Real-World AI-Assisted IDE Sessions

Ningzhi Tang, Chaoran Chen, Zihan Fang, Gelei Xu, Maria Dhakal, Yiyu Shi, Collin McMillan, Yu Huang, Toby Jia-Jun Li ยท 2026

IDE-integrated AI coding assistants, which operate conversationally within developers' working codebases with access to project context and multi-file editing, are rapidly reshaping software developmeโ€ฆ

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AI & Data Science Preprint PDF DOI

Distributional regression models for meta-analysis

Yefeng Yang, Shinichi Nakagawa ยท 2026

Meta-analyses are regarded as the highest level in the hierarchy of evidence, yet standard models traditionally concentrated on estimating the mean effect size, often under restrictive assumptions aboโ€ฆ

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