DeepTest 2025 Contributors

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Results (45)

A Manel AbdellatifAbdellatif, Manel École de Technologie SupérieureCanada Committee Member in Program Committee within the DeepTest-track
Paulo AlencarAlencar, Paulo University of WaterlooCanada On the Effectiveness of LLMs for Manual Test Verifications
Qurban AliAli, Qurban University of Milano-BicoccaItaly OpenCat: Improving Interoperability of ADS Testing
Gabin AnAn, Gabin KAISTSouth Korea Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths
B Aren BabikianBabikian, Aren University of Toronto Committee Member in Program Committee within the DeepTest-track
Luciano BaresiBaresi, Luciano Politecnico di MilanoItaly DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation
Davy BaíaBaía, Davy Federal University of AlagoasBrazil On the Effectiveness of LLMs for Manual Test Verifications
Matteo BiagiolaBiagiola, Matteo Università della Svizzera italiana Session Chair of Paper Presentation 3 (part of DeepTest) Session Chair of Paper Presentation 2 (part of DeepTest) Organizing Committee in Organizing Committee within the DeepTest-track
C Nicolás CardozoCardozo, Nicolás Universidad de los AndesColombia Organizing Committee in Organizing Committee within the DeepTest-track
Luís CruzCruz, Luís TU DelftNetherlands Improving the Reliability of Failure Prediction Models through Concept Drift Monitoring
D Myron David PeixotoDavid Peixoto, Myron Federal University of AlagoasBrazil On the Effectiveness of LLMs for Manual Test Verifications
Swaroopa DolaDola, Swaroopa University of Virginia Committee Member in Program Committee within the DeepTest-track
F Baldoino FonsecaFonseca, Baldoino Federal University of AlagoasBrazil On the Effectiveness of LLMs for Manual Test Verifications
G Luca GiamatteiGiamattei, Luca Università di Napoli Federico II Committee Member in Program Committee within the DeepTest-track
H Davide Yi Xian HuHu, Davide Yi Xian Politecnico di MilanoItaly DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation
I Muhammad Irfan Mas'UdiIrfan Mas'Udi, Muhammad Politecnico di MilanoItaly DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation
K Sungmin KangKang, Sungmin KAISTSouth Korea Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths Committee Member in Program Committee within the DeepTest-track
Foutse KhomhKhomh, Foutse Polytechnique MontréalCanada Organizing Committee in Organizing Committee within the DeepTest-track
Jinhan KimKim, Jinhan Università della Svizzera italiana (USI)Switzerland Session Chair of Paper Presentation 1 (part of DeepTest) Session Chair of Opening and Keynote Session (part of DeepTest) Organizing Committee in Organizing Committee within the DeepTest-track
Naryeong KimKim, Naryeong Korea Advanced Institute of Science and TechnologySouth Korea Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths
Somin KimKim, Somin Korea Advanced Institute of Science and TechnologySouth Korea DANDI: Diffusion as Normative Distribution for Deep Neural Network Input
L Stefan LarsonLarson, Stefan Vanderbilt UniversityUnited States Robust Testing for Deep Learning using Human Label Noise
Kevin LeachLeach, Kevin Vanderbilt UniversityUnited States Robust Testing for Deep Learning using Human Label Noise
Gordon LimLim, Gordon University of MichiganUnited States Robust Testing for Deep Learning using Human Label Noise
M Alessandro MarchettoMarchetto, Alessandro Università di TrentoItaly Organizing Committee in Organizing Committee within the DeepTest-track
Leonardo MarianiMariani, Leonardo University of Milano-BicoccaItaly OpenCat: Improving Interoperability of ADS Testing
N Nathalia NascimentoNascimento, Nathalia Pennsylvania State UniversityUnited States On the Effectiveness of LLMs for Manual Test Verifications
Noor NashidNashid, Noor University of British ColumbiaCanada Committee Member in Program Committee within the DeepTest-track
Shiva NejatiNejati, Shiva University of OttawaCanada Failures or False Alarms? Validating Tests and Failures for Cyber Physical Systems
Amin NikanjamNikanjam, Amin École Polytechnique de MontréalCanada Committee Member in Program Committee within the DeepTest-track
P Lorena Poenaru-OlaruPoenaru-Olaru, Lorena TU DelftNetherlands Improving the Reliability of Failure Prediction Models through Concept Drift Monitoring
Q Giovanni QuattrocchiQuattrocchi, Giovanni Politecnico di MilanoItaly DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation
R Márcio RibeiroRibeiro, Márcio Federal University of Alagoas, BrazilBrazil On the Effectiveness of LLMs for Manual Test Verifications
Oliviero RiganelliRiganelli, Oliviero University of Milano - BicoccaItaly OpenCat: Improving Interoperability of ADS Testing
S Jan S. RellermeyerS. Rellermeyer, Jan Leibniz University HannoverGermany Improving the Reliability of Failure Prediction Models through Concept Drift Monitoring
Arumoy ShomeShome, Arumoy Delft University of TechnologyNetherlands Committee Member in Program Committee within the DeepTest-track
Benjamin SteenhoekSteenhoek, Benjamin MicrosoftUnited States Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Andrea StoccoStocco, Andrea Technical University of Munich, fortissGermany OpenCat: Improving Interoperability of ADS Testing
Neel SundaresanSundaresan, Neel MicrosoftUnited States Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Alexey SvyatkovskiySvyatkovskiy, Alexey Google DeepMind Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
T Michele TufanoTufano, Michele GoogleUnited States Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
U Fitash Ul HaqUl Haq, Fitash Luxembourg Institute of Science and TechnologyLuxembourg Committee Member in Program Committee within the DeepTest-track
V Arie van Deursenvan Deursen, Arie TU DelftNetherlands Improving the Reliability of Failure Prediction Models through Concept Drift Monitoring
Y Shin YooYoo, Shin KAISTSouth Korea DANDI: Diffusion as Normative Distribution for Deep Neural Network Input Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths
Yuanyuan YuanYuan, Yuanyuan ETH Zurich Committee Member in Program Committee within the DeepTest-track