Human-centred collaboratIVE MultI-ageNt framework for accelerating software Development and maintenance

Informazioni relative al progetto

HIVEMIND

ID dell’accordo di sovvenzione: 101189745

DOI

10.3030/101189745

Data della firma CE 30 Ottobre 2024

Data di avvio 1 Gennaio 2025

Data di completamento 31 Dicembre 2027

Finanziato da

• Digital, Industry and Space

Costo totale

Nessun dato

Contributo UE

€ 4 569 056,77

Coordinato da

IDENER RESEARCH & DEVELOPMENT AIE
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Conference proceedings (7)

PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset Generation

Autori: Julio Perez, Fabio Barth, Georg Rehm
Pubblicato in: Proceedings of the Language Resources and Evaluation Conference, Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), 2026
Editore: European Language Resources Association (ELRA)
DOI: 10.63317/5OW3K3FBZ296

SciLaD: A Large-Scale, Transparent, Reproducible Dataset for Natural Scientific Language Processing

Autori: Luca Foppiano, Sotaro Takeshita, Pedro Ortiz Suarez, Ekaterina Borisova, Raia Abu Ahmad, Malte Ostendorff, Fabio Barth, Julian Moreno-Schneider, Georg Rehm
Pubblicato in: Proceedings of the Language Resources and Evaluation Conference, Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), 2026
Editore: European Language Resources Association (ELRA)
DOI: 10.63317/4F2AWJIIGKBR

Multi-Agent Debate Strategies to Enhance Requirements Engineering with Large Language Models

Autori: Oriol, Marc; Motger, Quim; Marco, Jordi; Franch, Xavier
Pubblicato in: 2025
Editore: 33rd IEEE International Requirements Engineering 2025 conference

Characterizing Datasets for LLM-based Requirements Engineering: A Systematic Mapping Study

Autori: Quim Motger; Carlota Catot; Xavier Franch
Pubblicato in: 2026
Editore: EASE 2026

Multivocal Literature Reviews in Emergent Research Areas: An Experience Report

Autori: Lidia López, Carles Farré, Razieh Akbarilalaei, Xavier Franch
Pubblicato in: Proceedings of the 2026 IEEE/ACM International Workshop on Methodological Numeros with Empirical Studies in Software Engineering, 2026
Editore: ACM
DOI: 10.1145/3786149.3788300

Collaborative Multi-Agent Testing for Emergent Failure Discovery in Autonomous Driving Systems

Autori: Ruizhen Gu; Konstantinos Koufos; Donghwan Shin; Vahid Garousi; Mehrdad Dianati
Editore: IEEE Int. Conf. Robotics and Automation (ICRA), Workshop Autonomous Driving, 2026.

What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews

Autori: Motger, Quim; Oriol, Marc; Tiesslera, Max; Franch, Xavier; Marco, Jordi
Pubblicato in: 2025
Editore: 33rd IEEE International Requirements Engineering 2025 conference

Book chapters (2)

Explaining Agents’ Interactions Through their Causal Behavior and Counterfactuals

Autori: Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum
Pubblicato in: Communications in Computer and Information Science, Engineering Applications of Neural Networks, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-31141-2_20

Development of a Process Data-Based Deposition Simulation for Extrusion-Based 3D Printing Processes as a Process Model for Generating Digital Twins

Autori: Vasco Sahlbach, Konrad Mauersberger, Albrecht Hänel, Steffen Ihlenfeldt
Pubblicato in: Lecture Notes in Mechanical Engineering, Flexible Automation and Intelligent Manufacturing: The Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-05610-8_11

Peer reviewed articles (1)

AI-Powered Software Testing Tools: Full Autonomy Remains a Distant Goal

Autori: Vahid Garousi, Nithin Joy, Davide Taibi
Pubblicato in: IEEE Software, Numero 42, 2025, ISSN 0740-7459
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MS.2025.3557895