Tootfinder

Institutional Policy Pathways for Supporting Research Software: Global Trends and Local Practices
Michelle Barker, Jeremy Cohen, Pedro Hern\'andez Serrano, Daniel S. Katz, Kim Martin, Dan Rudmann, Hugh Shanahan
https://arxiv.org/abs/2509.26422

Institutional Policy Pathways for Supporting Research Software: Global Trends and Local Practices
As research software becomes increasingly central to modern science, research-performing organisations (RPOs) need to ensure that their investment in people, skills and infrastructure around research software produces sustainable and maintainable software that improves the research they perform, which in turn improves the overall institution and its reputation and funding, for example, by competing with peers who lack this approach. However, research institution management and recognition of re…

Copenhagen-based Formalize, whose compliance software serves organizations in 80 countries, raised a €30M Series B co-led by Acton Capital and Blackfin Tech (Tamara Djurickovic/Tech.eu)
https://tech.eu/2025/10/28/formalize-raises-eur30m-to-a…

Formalize raises €30M to advance compliance solutions across Europe
Copenhagen-based Formalize has raised €30 million in a Series B co-led by Acton Capital and Blackfin Tech, with participation from West Hill Capital and CIBC Innovation Banking. The company has raised €50 million to date.Across Europe, organisations face an increasingly complex, interconnected regulatory landscape, with evolving rules reshaping expectations for information security, resilience, and reporting across industries and regions. Formalize, addresses this with a single platform…

SQuaD: Smart Quantum Detection for Photon Recognition and Dark Count Elimination
Karl C. Linne (Kai Li), Sho Uemura, Yue Ji, Andrew Karmen, Allen Zang, Alex Kolar, Martin Di Federico, Orlando Quaranta, Gustavo Cancelo, Tian Zhong
https://arxiv.org/abs/2509.24383

SQuaD: Smart Quantum Detection for Photon Recognition and Dark Count Elimination
Quantum detectors of single photons are an essential component for quantum information processing across computing, communication and networking. Today's quantum detection system, which consists of single photon detectors, timing electronics, control and data processing software, is primarily used for counting the number of single photon detection events. However, it is largely incapable of extracting other rich physical characteristics of the detected photons, such as their wavelengths, polari…

Security Issues on the OpenPLC project and corresponding solutions
Chaerin Kim
https://arxiv.org/abs/2509.22664 https://arxiv.org/pdf/2509.22664

Security Issues on the OpenPLC project and corresponding solutions
As Programmable Logic Controller (PLC) became a useful device and rose as an interesting research topic but remained expensive, multiple PLC simulators/emulators were introduced for various purposes. Open-source Programmable Logic Controller (OpenPLC) software, one of the most popular PLC simulators, is designed to be vendor-neutral and run on almost any computer or low-cost embedded devices, e.g., Raspberry Pi, Arduino, and other controllers. The project succeeded in introducing itself as an a…

Nonlinear Model Predictive Control with Single-Shooting Method for Autonomous Personal Mobility Vehicle
Rakha Rahmadani Pratama, Catur Hilman A. H. B. Baskoro, Joga Dharma Setiawan, Dyah Kusuma Dewi, P Paryanto, Mochammad Ariyanto, Roni Permana Saputra
https://arxiv.org/abs/2509.22694

Nonlinear Model Predictive Control with Single-Shooting Method for Autonomous Personal Mobility Vehicle
This paper introduces a proposed control method for autonomous personal mobility vehicles, specifically the Single-passenger Electric Autonomous Transporter (SEATER), using Nonlinear Model Predictive Control (NMPC). The proposed method leverages a single-shooting approach to solve the optimal control problem (OCP) via non-linear programming (NLP). The proposed NMPC is implemented to a non-holonomic vehicle with a differential drive system, using odometry data as localization feedback to guide t…

The X-ray luminosity function of stars observed with SRG/eROSITA
Nicola Locatelli, Gabriele Ponti, Enza Magaudda, Beate Stelzer
https://arxiv.org/abs/2509.22770 https://

The X-ray luminosity function of stars observed with SRG/eROSITA
Background diffuse X-ray emission is contributed in large part by the emission of point sources not individually resolved. While this is established since decades for the contribution of quasars to the diffuse emission above 1 keV energies, the possible contribution of undetected stars in the Milky Way to the softer band (0.5-1 keV) background emission is still poorly constrained. The overall unresolved X-ray flux from the stars is the product between the stellar spatial distribution in the Mil…

Large Language Models for Software Testing: A Research Roadmap
Cristian Augusto, Antonia Bertolino, Guglielmo De Angelis, Francesca Lonetti, Jes\'us Mor\'an
https://arxiv.org/abs/2509.25043

Large Language Models for Software Testing: A Research Roadmap
Large Language Models (LLMs) are starting to be profiled as one of the most significant disruptions in the Software Testing field. Specifically, they have been successfully applied in software testing tasks such as generating test code, or summarizing documentation. This potential has attracted hundreds of researchers, resulting in dozens of new contributions every month, hardening researchers to stay at the forefront of the wave. Still, to the best of our knowledge, no prior work has pro…

Runtime Energy Monitoring for RISC-V Soft-Cores
Alberto Scionti, Paolo Savio, Francesco Lubrano, Olivier Terzo, Marco Ferretti, Florin Apopei, Juri Bellucci, Ennio Spano, Luca Carriere
https://arxiv.org/abs/2509.26065

Runtime Energy Monitoring for RISC-V Soft-Cores
Energy efficiency is one of the major concern in designing advanced computing infrastructures. From single nodes to large-scale systems (data centers), monitoring the energy consumption of the computing system when applications run is a critical task. Designers and application developers often rely on software tools and detailed architectural models to extract meaningful information and determine the system energy consumption. However, when a design space exploration is required, designers may …

Agent-based code generation for the Gammapy framework
Dmitriy Kostunin, Vladimir Sotnikov, Sergo Golovachev, Abhay Mehta, Tim Lukas Holch, Elisa Jones
https://arxiv.org/abs/2509.26110

Agent-based code generation for the Gammapy framework
Software code generation using Large Language Models (LLMs) is one of the most successful applications of modern artificial intelligence. Foundational models are very effective for popular frameworks that benefit from documentation, examples, and strong community support. In contrast, specialized scientific libraries often lack these resources and may expose unstable APIs under active development, making it difficult for models trained on limited or outdated data. We address these issues for th…

Metamorphic Testing for Audio Content Moderation Software
Wenxuan Wang, Yongjiang Wu, Junyuan Zhang, Shuqing Li, Yun Peng, Wenting Chen, Shuai Wang, Michael R. Lyu
https://arxiv.org/abs/2509.24215

Metamorphic Testing for Audio Content Moderation Software
The rapid growth of audio-centric platforms and applications such as WhatsApp and Twitter has transformed the way people communicate and share audio content in modern society. However, these platforms are increasingly misused to disseminate harmful audio content, such as hate speech, deceptive advertisements, and explicit material, which can have significant negative consequences (e.g., detrimental effects on mental health). In response, researchers and practitioners have been actively developi…