Expertini Research Research

Browse Research Papers

48,784+ open-access research outputs.

โœ• Clear
๐Ÿ” software
Showing 48784 results for "software"
Computer Science Preprint PDF DOI

Bridging Safety and Security in Complex Systems: A Model-Based Approach with SAFT-GT Toolchain

Irdin Pekaric, Raffaela Groner, Alexander Raschke, Thomas Witte, Jubril Gbolahan Adigun, Michael Felderer, Matthias Tichy ยท 2026

In the rapidly evolving landscape of software engineering, the demand for robust and secure systems has become increasingly critical. This is especially true for self-adaptive systems due to their comโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Teaching Empathy in Software Engineering Education in the Age of Artificial Intelligence

Ronnie de Souza Santos, Cleyton Magalhaes, Giuseppe Destefanis, Mairieli Wessel, Ann Barcomb, Sherlock Licorish, Brody Stuart-Verner, Italo Santos ยท 2026

Empathy has been discussed as a relevant human capability in software engineering, particularly in activities that require understanding users, stakeholders, and the societal implications of technologโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception

Seamus Brady ยท 2026

We present Springdrift, a persistent runtime for long-lived LLM agents. The system integrates an auditable execution substrate (append-only memory, supervised processes, git-backed recovery), a case-bโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection

Yihan Sun, Yuqi Cheng, Junjie Zu, Yuxiang Tan, Guoyang Xie, Yucheng Wang, Yunkang Cao, Weiming Shen ยท 2026

Industrial 3D anomaly detection performance is fundamentally constrained by the scarcity and long-tailed distribution of abnormal samples. To address this challenge, we propose Synthesis4AD, an end-toโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Stochastic Model Predictive Control with Online Risk Allocation and Feedback Gain Selection

Filipe Marques Barbosa, Johan Lofberg ยท 2026

Stochastic Model Predictive Control addresses uncertainties by incorporating chance constraints that provide probabilistic guarantees of constraint satisfaction. However, simultaneously optimizing oveโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Beyond Fixed Tests: Repository-Level Issue Resolution as Coevolution of Code and Behavioral Constraints

Kefan Li, Yuan Yuan, Mengfei Wang, Shihao Zheng, Wei Wang, Ping Yang, Mu Li, Weifeng Lv ยท 2026

Software engineers resolving repository-level issues do not treat existing tests as immutable correctness oracles. Instead, they iteratively refine both code and the tests used to characterize intendeโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

An experimental evaluation of satellite constellation emulators

Victor Cionca, Ferenc Szabo, Stanimir Vasilev, Dylan Smyth ยท 2026

Satellite emulation software is essential for research due to the lack of access to physical testbeds. To be useful, emulators must generate observations that are well-aligned with real-world ones, anโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

STRIDe: Cross-Coupled STT-MRAM Enabling Robust In-Memory-Computing for Deep Neural Network Accelerators

Imtiaz Ahmed, Sumeet Kumar Gupta ยท 2026

As deep neural network (DNN) models are growing exponentially in size, their deployment on resource-constrained edge platforms is becoming increasingly challenging. In-memory-computing (IMC) with non-โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

iLBA: An R package for confidentially disseminating aggregated frequency tables

Jeehyun Hwang, Dongsun Yoon, Sungkyu Jung, Min-Jeong Park, Inkwon Yeo ยท 2026

Statistical agencies frequently release frequency tables derived from microdata, but small frequency cells may lead to disclosure risks. We present \texttt{iLBA}, an open-source \textsf{R} package forโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks

Poornima Kumaresan, Shwetha Singaravelu, Lakshmi Rajendran, Santhosh Sivasubramani ยท 2026

Quantum machine learning (QML) stands at the intersection of quantum computing and artificial intelligence, offering the potential to solve problems that remain intractable for classical methods. Howeโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Decocted Experience Improves Test-Time Inference in LLM Agents

Maohao Shen, Kaiwen Zha, Zexue He, Zhang-Wei Hong, Siru Ouyang, J. Jon Ryu, Prasanna Sattigeri, Suhas Diggavi, Gregory Wornell ยท 2026

There is growing interest in improving LLMs without updating model parameters. One well-established direction is test-time scaling, where increased inference-time computation (e.g., longer reasoning, โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories

Fariha Tanjim Shifat, Hariswar Baburaj, Ce Zhou, Jaydeb Sarker, Mia Mohammad Imran ยท 2026

Large language models (LLMs) are increasingly embedded in open-source software (OSS) ecosystems, creating complex interactions among natural language prompts, probabilistic model outputs, and executioโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Closed-Loop Autonomous Software Development via Jira-Integrated Backlog Orchestration: A Case Study in Deterministic Control and Safety-Constrained Automation

Elias Calboreanu ยท 2026

This paper presents a closed-loop system for software lifecycle management framed as a control architecture rather than a code-generation tool. The system manages a backlog of approximately 1,602 rowsโ€ฆ

Read Paper โ†’
Education Preprint PDF DOI

Training on Data Analysis Reproducibility via Containerization with Apptainer

Roy Cruz Candelaria, Wouter Deconinck, Aman Desai, Guillermo Fidalgo Rodriguez, Michel Hernandez Villanueva, Kilian Lieret, Valeriia Lukashenko, Sudhir Malik, Marco Mambelli, Tetiana Mazurets, Alexander Moreno Briceno, Andres Rios-Tascon, Richa Sharma ยท 2026

We present the material and resources developed for training physicists on containerization technologies enabled by Apptainer. In the context of analysis preservation using Apptainer's capabilities, wโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Agentic Code Optimization via Compiler-LLM Cooperation

Benjamin Mikek, Danylo Vashchilenko, Bryan Lu, Panpan Xu ยท 2026

Generating performant executables from high level languages is critical to software performance across a wide range of domains. Modern compilers perform this task by passing code through a series of wโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

NEURA: A Unified and Retargetable Compilation Framework for Coarse-Grained Reconfigurable Architectures

Shangkun Li, Jinming Ge, Diyuan Tao, Zeyu Li, Jiawei Liang, Linfeng Du, Jiang Xu, Wei Zhang, Cheng Tan ยท 2026

Coarse-Grained Reconfigurable Architectures (CGRAs) are a promising and versatile accelerator platform, offering a balance between the performance and efficiency of specialized accelerators and the soโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report

Boshuai Ye, Arif Ali Khan, Teemu Pihkakoski, Peng Liang, Muhammad Azeem Akbar, Matti Silveri, Lauri Malmi ยท 2026

This is the Replicated Computational Results (RCR) Report for the paper C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development. The paper introduces a modular, hardware-agnoโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Toward a Sustainable Software Architecture Community: Evaluating ICSA's Environmental Impact

Mahyar T. Moghaddam, Mina Alipour, Torben Worm, Mikkel Baun Kj{ae}rgaard ยท 2026

Generative AI (GenAI) tools are increasingly integrated into software architecture research, yet the environmental impact of their computational usage remains largely undocumented. This study presentsโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Meta-analysis with the glmmTMB R package

Coralie Williams, Maeve McGillycuddy, Mollie Brooks, Benjamin M. Bolker, Ayumi Mizuno, Yefeng Yang, Wolfgang Viechtbauer, David I. Warton, Shinichi Nakagawa ยท 2026

Meta-analytical models are typically formulated as a mixed-effects model where the sampling variances of the effect sizes are treated as known. In principle, such models could be fitted with standard โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Humans Integrate, Agents Fix: How Agent-Authored Pull Requests Are Referenced in Practice

Islem Khemissi, Moataz Chouchen, Dong Wang, Raula Gaikovina Kula ยท 2026

Although coding agents have introduced new coordination dynamics in collaborative software development, detailed interactions in practice remain underexplored, especially for the code review process. โ€ฆ

Read Paper โ†’
โ† Prev Page 32 of 2440 Next โ†’