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

EvolveTool-Bench: Evaluating the Quality of LLM-Generated Tool Libraries as Software Artifacts

Alibek T. Kaliyev, Artem Maryanskyy ยท 2026

Modern LLM agents increasingly create their own tools at runtime -- from Python functions to API clients -- yet existing benchmarks evaluate them almost exclusively by downstream task completion. Thisโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

When is Generated Code Difficult to Comprehend? Assessing AI Agent Python Code Proficiency in the Wild

Nanthit Temkulkiat, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Ruksit Rojpaisarnkit, Raula Gaikovina Kula ยท 2026

The rapid adoption of AI coding agents is fundamentally shifting software developers' roles from code authors to code reviewers. While developers spend a significant portion of their time reading and โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

VeriAct: Beyond Verifiability -- Agentic Synthesis of Correct and Complete Formal Specifications

Md Rakib Hossain Misu, Iris Ma, Cristina V. Lopes ยท 2026

Formal specifications play a central role in ensuring software reliability and correctness. However, automatically synthesizing high-quality formal specifications remains a challenging task, often reqโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Structure- and Event-Driven Frameworks for State Machine Modeling with Large Language Models

Samer Abdulkarim, Evan Boyd, Karl Bridi, Alec Tufenkjian, Boqi Chen, Gunter Mussbacher ยท 2026

UML state machine design is a critical process in software engineering. Traditionally, state machines are manually crafted by experienced engineers based on natural language requirements-a time-consumโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Ontology-based knowledge graph infrastructure for interoperable atomistic simulation data

Abril Azocar Guzman, Sarath Menon, Tilmann Hickel, Stefan Sandfeld ยท 2026

The reuse of atomistic simulation data is often limited by heterogeneous formats, incomplete metadata, and a lack of standardized representations of workflows and provenance. Here we present an ontoloโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

From Domain Understanding to Design Readiness: a playbook for GenAI-supported learning in Software Engineering

Rafal Wlodarski ยท 2026

Software engineering courses often require rapid upskilling in supporting knowledge areas such as domain understanding and modeling methods. We report an experience from a two-week milestone in a mastโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Efficient Software Vulnerability Detection Using Transformer-based Models

Sameer Shaik, Zhen Huang, Daniela Stan Raicu, Jacob Furst ยท 2026

Detecting software vulnerabilities is critical to ensuring the security and reliability of modern computer systems. Deep neural networks have shown promising results on vulnerability detection, but thโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

The WEAVE acquisition and guiding software: pattern recognition-based acquisition and multi-fibre guiding

Emanuel Gafton, Gavin B. Dalton, Don Carlos Abrams, Jure Skvarc, Sergio Pico, Lilian Dominguez-Palmero, Illa R. Losada, Sarah Hughes, Neil O'Mahony, Frank J. Gribbin, Andy Ridings, David L. Terrett, Cecilia Farina, Chris R. Benn, Esperanza Carrasco, P. Joel Concepcion Hernandez, Kevin Dee, Rafael Izazaga, Shoko Jin, Ian J. Lewis, J. Alfonso L. Aguerri, Gonzalo Paez ยท 2026

We present the architecture, implementation, and on-sky validation of the fully automated acquisition and guiding system (AG) developed for the WEAVE instrument on the William Herschel Telescope. The โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Automatic Identification of Parallelizable Loops Using Transformer-Based Source Code Representations

Izavan dos S. Correia, Henrique C. T. Santos, Tiago A. E. Ferreira ยท 2026

Automatic parallelization remains a challenging problem in software engineering, particularly in identifying code regions where loops can be safely executed in parallel on modern multi-core architectuโ€ฆ

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

Benchmarking PhD-Level Coding in 3D Geometric Computer Vision

Wenyi Li, Renkai Luo, Yue Yu, Huan-ang Gao, Mingju Gao, Li Yuan, Chaoyou Fu, Hao Zhao ยท 2026

AI-assisted coding has rapidly reshaped software practice and research workflows, yet today's models still struggle to produce correct code for complex 3D geometric vision. If models could reliably wrโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

A Lightweight Hybrid Publish/Subscribe Event Fabric for IPC and Modular Distributed Systems

Dimitris Gkoulis ยท 2026

Modular software deployed on mini compute units in controlled distributed environments often needs two messaging paths: low-overhead in-process coordination and selective cross-node distribution. In pโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

An Empirical Study on How Architectural Topology Affects Microservice Performance and Energy Usage

Irena Ristova, Vincenzo Stoico ยท 2026

Microservice architectures form the backbone of modern software systems for their scalability, resilience, and maintainability, but their rise in cloud-native environments raises energy efficiency conโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Implementing Basic Arithmetic in $\mathbb{F}_p$ via $\mathbb{F}_2$, and Its Application for Computing the Hamming Distance of Linear Codes

Fernando Hernando, Gregorio Quintana-Orti ยท 2026

We present a new general method for performing basic arithmetic in the finite field~$\mathbb{F}_p$ for any prime $p>2$ by using traditional binary operations over~$\mathbb{F}_2$. Our new approach is eโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

BayesInsights: Modelling Software Delivery and Developer Experience with Bayesian Networks at Bloomberg

Serkan Kirbas, Federica Sarro, David Williams ยท 2026

As software in industry grows in size and complexity, so does the volume of engineering data that companies generate and use. Ideally, this data could be used for many purposes, including informing deโ€ฆ

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

Owl-AuraID 1.0: An Intelligent System for Autonomous Scientific Instrumentation and Scientific Data Analysis

Han Deng, Anqi Zou, Hanling Zhang, Ben Fei, Chengyu Zhang, Haobo Wang, Xinru Guo, Zhenyu Li, Xuzhu Wang, Peng Yang, Fujian Zhang, Weiyu Guo, Xiaohong Shao, Zhaoyang Liu, Shixiang Tang, Zhihui Wang, Wanli Ouyang ยท 2026

Scientific discovery increasingly depends on high-throughput characterization, yet automation is hindered by proprietary GUIs and the limited generalizability of existing API-based systems. We presentโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Compiling Code LLMs into Lightweight Executables

Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo Klymenko, Thong Hoang (James), Xiwei Xu (Sherry), Zhenchang Xing, David Lo ยท 2026

The demand for better prediction accuracy and higher execution performance in neural networks continues to grow. The emergence and success of Large Language Models (LLMs) have produced many cloud-baseโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Detecting speculative leaks with compositional semantics

Xaver Fabian, Marco Guarnieri, Boris Kopf, Jose F. Morales, Marco Patrignani, Jan Reineke, Andres Sanchez ยท 2026

Speculative execution enhances processor performance by predicting intermediate results and executing instructions based on these predictions. However, incorrect predictions can lead to security vulneโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

On the Use of Commit Messages for Corrective Software Maintenance: A Systematic Mapping Study

Syful Islam, Stefano Zacchiroli ยท 2026

Corrective maintenance is crucial to ensure the quality of software, thereby improving reliability and user experience. In a version control system (VCS), developers write commit messages to document โ€ฆ

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

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios

Qiucheng Yu, Ruijie Xu, Mingang Chen, Xuequan Lu, Jianfeng Dong, Chaochao Lu, Xin Tan ยท 2026

Recent advances in vision-language models (VLMs) have accelerated their application to indoor safety hazards assessment. However, existing benchmarks suffer from three fundamental limitations: (1) heaโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

HPCCFA: Leveraging Hardware Performance Counters for Control Flow Attestation

Claudius Pott, Luca Wilke, Jan Wichelmann, Thomas Eisenbarth ยท 2026

Trusted Execution Environments (TEEs) allow the secure execution of code on remote systems without the need to trust their operators. They use static attestation as a central mechanism for establishinโ€ฆ

Read Paper โ†’
โ† Prev Page 38 of 2440 Next โ†’