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Computer Science Preprint PDF DOI

Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics

Pernilla Hall, Anton Ununger, Riccardo Rubei, Alessio Bucaioni · 2026

Software quality assurance remains a major challenge in industrial environments, where large-scale and long-lived systems inevitably accumulate defects. Identifying the location of a fault is often ti…

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Computer Science Preprint PDF DOI

Embedded Rust or C Firmware? Lessons from an Industrial Microcontroller Use Case with Ariel OS

Bipin Thapa, Daniele Alfonso, Lorenzo Bini, Licio Mapelli, Kaspar Schleiser, Romain Fouquet, Emmanuel Baccelli · 2026

As Rust gains traction for developing safer systems software, a reality check for the microcontroller hardware segment becomes necessary. How ready is the Rust ecosystem for this segment? Can Rust com…

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Computer Science Preprint PDF DOI

Multibit neural inference in a N-ary crossbar architecture

Anatole Moureaux, Anthony Lopes Temporao, Flavio Abreu Araujo · 2026

In-memory computing (IMC) enables energy-efficient neural network inference by computing analog matrix-vector multiplications (MVM) in memory crossbar arrays. In this work we present a simulation fram…

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Computer Science Preprint PDF DOI

An Empirical Analysis of Mobile Energy Consumption Across User Configurations

Wellington Oliveira · 2026

Mobile devices have become ubiquitous tools for communication, entertainment, and productivity, yet battery autonomy remains a constraint. While energy-saving tips exist, they are often generic, anecd…

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Physics Preprint PDF DOI

Background Remover -- an effective tool for processing noisy microscopy images

Anna Kilian, Pawe{l} Bilski, Ma{l}gorzata Sankowska · 2026

Background Remover (BGR) is a novel software tool developed as a plugin to the well-known ImageJ program and designed to address the challenges of analysing fluorescent microscopy images characterized…

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Physics Preprint PDF DOI

Jarvis-HEP: A lightweight Python framework for workflow composition and parameter scans in high-energy physics

Erdong Guo, Paul Jackson, Jin Min Yang, Pengxuan Zhu · 2026

High-energy physics phenomenology often requires linking multiple computational tools to evaluate observables, likelihoods, and experimental constraints across nontrivial parameter spaces. In this wor…

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Computer Science Preprint PDF DOI

From CRUD to Autonomous Agents: Formal Validation and Zero-Trust Security for Semantic Gateways in AI-Native Enterprise Systems

Ignacio Peyrano · 2026

Enterprise software engineering is shifting away from deterministic CRUD/REST architectures toward AI-native systems where large language models act as cognitive orchestrators. This transition introdu…

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Computer Science Preprint PDF DOI

Recommending Usability Improvements with Multimodal Large Language Models

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich · 2026

Usability describes quality attributes of application user interfaces that determine how effectively users can interact with them. Traditional usability evaluation methods require considerable experti…

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Engineering Preprint PDF DOI

Behaviour-aware Hybrid Architecture for Trust-driven Transmissions

Dhrumil Bhatt, Anakha Kurup · 2026

Reliable and secure communication is essential for mission-critical aerospace and defence operations involving autonomous platforms such as Unmanned Aerial Vehicles (UAVs), satellites, and ground cont…

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Computer Science Preprint PDF DOI

Supporting Belonging in Software Engineering Through Role Models Exposure

Ronnie de Souza Santos · 2026

Role models are widely discussed in educational research as influential in students identity development and sense of belonging, yet less attention has been given to how role model visibility can be s…

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Computer Science Preprint PDF DOI

What If We Work Together? Fostering Reflections on Designer Inclusion in Open Source Software Through Speculative Design

Rozhan Hozhabri Nezhad, Jin L.C. Guo, Jinghui Cheng · 2026

Open source software (OSS) often prioritizes technical functionality over usability and UX design. This imbalance limits OSS adoption among broader, non-technical users. Key underlying factors contrib…

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Computer Science Preprint PDF DOI

Large Language Models for Multilingual Code Intelligence: A Survey

Chao Jiang, Dugang Liu, Cheng Wen, Zhiwu Xu, Hua Zheng, Muhammad Sadiq, Jawwad Ahmed Shamsi, Shengchao Qin, Zhong Ming · 2026

Large language models have transformed AI-assisted software engineering, but current research remains biased toward high-resource languages such as Python, with weaker performance in languages like Ru…

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Engineering Preprint PDF DOI

TEACar: An Open-Source Autonomous Driving Platform

Zhongzheng Zhang, Maxwell Ruyle, Andrew Kappes, Tyler Ruble, William Shaoul, Dana Moreno, Jack Penn, Ivan Ruchkin · 2026

Intelligent Transportation Systems (ITS) increasingly rely on vision-based perception and learning-based control, necessitating experimental platforms that support realistic hardware-in-the-loop valid…

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Physics Preprint PDF DOI

spectroxide: A code package for computing cosmic microwave background spectral distortions

Ethan Baker, Hongwan Liu, Siddharth Mishra-Sharma · 2026

We present spectroxide, a code package for computing cosmic microwave background spectral distortions in which all ${\sim}14{,}500$ lines of Rust code, Python interface, and ${\sim}400$ automated test…

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Computer Science Preprint PDF DOI

FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting

Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti · 2026

Deep Learning methods are becoming prominent in automated software bug detection; however, they lack the global understanding of the given code. Consequently, their performance tends to degrade, espec…

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Computer Science Preprint PDF DOI

Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions

Utku Boran Torun, Veli Karakaya, Ali Babar, Eray Tuzun · 2026

Large Language Models (LLMs) are increasingly embedded in software engineering (SE) tools, powering applications such as code generation, automated code review, and bug triage. As these LLM-based AI f…

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Computer Science Preprint PDF DOI

Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents

Phat T. Tran-Truong, Xuan-Bach Le · 2026

Large language model (LLM) agents increasingly operate as sequential software systems, but their reliability is often summarized by scalar benchmark metrics. Metrics such as pass$@k$, pass$^k$, and th…

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Computer Science Preprint PDF DOI

Mono2Sls: Automated Monolith-to-Serverless Migration via Multi-Stage Pipeline with Static Analysis

Xingyan Chen, Yuxin Su, Zishan Su, Yang Yu, Zibin Zheng · 2026

Cloud computing platforms offer elastic scaling, managed infrastructure, and pay-per-use pricing, but moving existing monolithic backends to them remains a difficult software engineering task. In prac…

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Computer Science Preprint PDF DOI

A systematic literature Review for Transformer-based Software Vulnerability detection

Fiza Naseer, Javed Ali Khan, Muhammad Yaqoob, Alexios Mylonas, Ishaya Gambo · 2026

Context: Software vulnerabilities pose significant security threats to software systems, especially as software is increasingly used across many areas of daily life, including health, government, and …

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Computer Science Preprint PDF DOI

Understanding the Limits of Automated Evaluation for Code Review Bots in Practice

Veli Karakaya, Utku Boran Torun, Baykal Mehmet Ucar, Eray Tuzun · 2026

Automated code review (ACR) bots are increasingly used in industrial software development to assist developers during pull request (PR) review. As adoption grows, a key challenge is how to evaluate th…

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