Results of the analysis of a survey for young scientists on training quality in HEP instrumentation software and machine learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Borca, Cecilia, Peña, Javier Jiménez, Marckx, David, Niemiec, Malgorzata, Norella, Elisabetta Spadaro, Urbaniak, Marta |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Ten simple rules for training scientists to make better software
por: Gallagher, Kit, et al.
Publicado: (2024)
por: Gallagher, Kit, et al.
Publicado: (2024)
Enhancing software product lines with machine learning components
por: Cobaleda, Luz-Viviana, et al.
Publicado: (2025)
por: Cobaleda, Luz-Viviana, et al.
Publicado: (2025)
A survey of generative AI adoption and perceived productivity among scientists who program
por: O'Brien, Gabrielle, et al.
Publicado: (2025)
por: O'Brien, Gabrielle, et al.
Publicado: (2025)
Private GPTs for LLM-driven testing in software development and machine learning
por: Jagielski, Jakub, et al.
Publicado: (2025)
por: Jagielski, Jakub, et al.
Publicado: (2025)
NNTile: a machine learning framework capable of training extremely large GPT language models on a single node
por: Mikhalev, Aleksandr, et al.
Publicado: (2025)
por: Mikhalev, Aleksandr, et al.
Publicado: (2025)
A pragmatic look at education and training of software test engineers: Further cooperation of academia and industry is needed
por: Garousi, Vahid, et al.
Publicado: (2024)
por: Garousi, Vahid, et al.
Publicado: (2024)
A survey of the state‐of‐the‐art approaches for evaluating trust in software ecosystems
por: Fang Hou, et al.
Publicado: (2024)
por: Fang Hou, et al.
Publicado: (2024)
Automated categorization of pre-trained models for software engineering: A case study with a Hugging Face dataset
por: Di Sipio, Claudio, et al.
Publicado: (2024)
por: Di Sipio, Claudio, et al.
Publicado: (2024)
A survey on the impact of emotions on the productivity among software developers
por: Weichbroth, Pawel, et al.
Publicado: (2025)
por: Weichbroth, Pawel, et al.
Publicado: (2025)
An empirical study of testing machine learning in the wild
por: Openja, Moses, et al.
Publicado: (2023)
por: Openja, Moses, et al.
Publicado: (2023)
An evaluation approach based on the problem-based learning in a software engineering master course
por: Ana Paula Cavalcanti
Publicado: (2008)
por: Ana Paula Cavalcanti
Publicado: (2008)
Transfer learning for conflict and duplicate detection in software requirement pairs
por: Malik, Garima, et al.
Publicado: (2023)
por: Malik, Garima, et al.
Publicado: (2023)
Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?
por: Araújo, Allysson Allex, et al.
Publicado: (2024)
por: Araújo, Allysson Allex, et al.
Publicado: (2024)
Simulación del proceso de desarrollo de software: una aproximación con Dinámica de Sistemas y el Método de Larman
por: German Lenin Dugarte Peña
Publicado: (2020)
por: German Lenin Dugarte Peña
Publicado: (2020)
Application of machine learning for infrastructure reconstruction programs management
por: Khudiakov, Illia, et al.
Publicado: (2025)
por: Khudiakov, Illia, et al.
Publicado: (2025)
A customizable approach to assess software quality through Multi-Criteria Decision Making
por: Basciani, Francesco, et al.
Publicado: (2023)
por: Basciani, Francesco, et al.
Publicado: (2023)
QualiTagger: Automating software quality detection in issue trackers
por: Shivashankar, Karthik, et al.
Publicado: (2025)
por: Shivashankar, Karthik, et al.
Publicado: (2025)
PELLI: Framework to effectively integrate LLMs for quality software generation
por: Krebs, Rasmus, et al.
Publicado: (2026)
por: Krebs, Rasmus, et al.
Publicado: (2026)
Measuring the effectiveness of code review comments in GitHub repositories: A machine learning approach
por: Rahman, Shadikur, et al.
Publicado: (2025)
por: Rahman, Shadikur, et al.
Publicado: (2025)
State‐of‐the‐practice in quality assurance in Java‐based open source software development
por: Ali Khatami, et al.
Publicado: (2024)
por: Ali Khatami, et al.
Publicado: (2024)
A systematic mapping on quantum software development in the context of software engineering
por: Junior, Paulo Eduardo Zanni, et al.
Publicado: (2021)
por: Junior, Paulo Eduardo Zanni, et al.
Publicado: (2021)
scikit-package -- software packaging standards and roadmap for sharing reproducible scientific software
por: Lee, S., et al.
Publicado: (2025)
por: Lee, S., et al.
Publicado: (2025)
DeepTSF: Codeless machine learning operations for time series forecasting
por: Pelekis, Sotiris, et al.
Publicado: (2023)
por: Pelekis, Sotiris, et al.
Publicado: (2023)
SUS-Lib: An automated tool for usability evaluation based on the Software Usability Scale from user feedback
por: Weichbroth, Paweł, et al.
Publicado: (2024)
por: Weichbroth, Paweł, et al.
Publicado: (2024)
Leveraging the Software Quality Assurance as a Service (SQAaaS) platform to adopt and get recognition for quality practices in software development.
por: Pablo Orviz, et al.
Publicado: (2023)
por: Pablo Orviz, et al.
Publicado: (2023)
Experience converting a large mathematical software package written in C++ to C++20 modules
por: Bangerth, Wolfgang
Publicado: (2025)
por: Bangerth, Wolfgang
Publicado: (2025)
Does social identity matter in software engineering? Assessing the case of research software engineers
por: Uwasomba, Chukwudi, et al.
Publicado: (2026)
por: Uwasomba, Chukwudi, et al.
Publicado: (2026)
Software educativo para el estudio de “El ADN y su replicación”
por: Marta Beatriz Briggs Jiménez
Publicado: (2010)
por: Marta Beatriz Briggs Jiménez
Publicado: (2010)
Cost estimation in software engineering projects with web components development
por: Javier de Andrés
Publicado: (2015)
por: Javier de Andrés
Publicado: (2015)
Causal analysis procedure focused on small software development organizations
por: Kelly Yohanna Zúñiga-Silva
Publicado: (2017)
por: Kelly Yohanna Zúñiga-Silva
Publicado: (2017)
Génesis instrumental en el proceso de aprendizaje: el software wxMaxima y la función polinómica
por: Luis Fernando Suárez-Restrepo
Publicado: (2017)
por: Luis Fernando Suárez-Restrepo
Publicado: (2017)
Making Software FAIR: A machine-assisted workflow for the research software lifecycle
por: Knoth, Petr, et al.
Publicado: (2025)
por: Knoth, Petr, et al.
Publicado: (2025)
Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go?
por: Alfayez, Reem, et al.
Publicado: (2026)
por: Alfayez, Reem, et al.
Publicado: (2026)
Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey
por: Schieferdecker, Ina K.
Publicado: (2025)
por: Schieferdecker, Ina K.
Publicado: (2025)
A Brief Guide to Exotic Hadrons
por: Hüsken, Nils, et al.
Publicado: (2024)
por: Hüsken, Nils, et al.
Publicado: (2024)
Procesos de innovación y competencias de los recursos humanos en la industria del software en Argentina
por: Jorge José Motta
Publicado: (2013)
por: Jorge José Motta
Publicado: (2013)
Towards a differential $\mathrm{t\bar{t}W}$ cross section measurement at CMS
por: Marckx, David
Publicado: (2024)
por: Marckx, David
Publicado: (2024)
Mapping the research software sustainability space
por: Druskat, Stephan, et al.
Publicado: (2018)
por: Druskat, Stephan, et al.
Publicado: (2018)
Stability prediction of the software requirements specification
por: del Sagrado, J., et al.
Publicado: (2024)
por: del Sagrado, J., et al.
Publicado: (2024)
An instrument to measure factors that constitute the socio-technical context of testing experience
por: Swillus, Mark, et al.
Publicado: (2025)
por: Swillus, Mark, et al.
Publicado: (2025)
Ejemplares similares
-
Ten simple rules for training scientists to make better software
por: Gallagher, Kit, et al.
Publicado: (2024) -
Enhancing software product lines with machine learning components
por: Cobaleda, Luz-Viviana, et al.
Publicado: (2025) -
A survey of generative AI adoption and perceived productivity among scientists who program
por: O'Brien, Gabrielle, et al.
Publicado: (2025) -
Private GPTs for LLM-driven testing in software development and machine learning
por: Jagielski, Jakub, et al.
Publicado: (2025) -
NNTile: a machine learning framework capable of training extremely large GPT language models on a single node
por: Mikhalev, Aleksandr, et al.
Publicado: (2025)