| ModelSet: a dataset for machine learning in model-driven engineering JAH López, JL Cánovas Izquierdo, JS Cuadrado Software and Systems Modeling, 1-20, 2022 | 60 | 2022 |
| MAR: a structure-based search engine for models JAH López, JS Cuadrado Proceedings of the 23rd ACM/IEEE international conference on model driven …, 2020 | 59 | 2020 |
| Automated domain modeling with large language models: A comparative study K Chen, Y Yang, B Chen, JAH López, G Mussbacher, D Varró 2023 ACM/IEEE 26th International Conference on Model Driven Engineering …, 2023 | 49* | 2023 |
| AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models JA Hernández López, M Weyssow, JS Cuadrado, H Sahraoui Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 36 | 2022 |
| An efficient and scalable search engine for models JAH López, JS Cuadrado Software and Systems Modeling 21 (5), 1715-1737, 2022 | 28 | 2022 |
| Towards the characterization of realistic model generators using graph neural networks JAH López, JS Cuadrado 2021 ACM/IEEE 24th International Conference on Model Driven Engineering …, 2021 | 17 | 2021 |
| Machine learning methods for model classification: a comparative study JAH López, R Rubei, JS Cuadrado, D Di Ruscio Proceedings of the 25th International Conference on Model Driven Engineering …, 2022 | 16 | 2022 |
| Generating structurally realistic models with deep autoregressive networks JAH López, JS Cuadrado IEEE Transactions on Software Engineering 49 (4), 2661-2676, 2022 | 12 | 2022 |
| Word embeddings for model-driven engineering JAH López, C Durá, JS Cuadrado 2023 ACM/IEEE 26th International Conference on Model Driven Engineering …, 2023 | 8 | 2023 |
| ModelSet: A labelled dataset of software models for machine learning JAH López, JLC Izquierdo, JS Cuadrado Science of Computer Programming 231, 103009, 2024 | 7 | 2024 |
| Using the ModelSet dataset to support machine learning in model-driven engineering JAH López, JLC Izquierdo, JS Cuadrado Proceedings of the 25th International Conference on Model Driven Engineering …, 2022 | 5 | 2022 |
| On inter-dataset code duplication and data leakage in large language models JAH López, B Chen, M Saad, T Sharma, D Varró IEEE Transactions on Software Engineering, 2024 | 4 | 2024 |
| Text2vql: teaching a model query language to open-source language models with ChatGPT JAH López, M Földiák, D Varró Proceedings of the ACM/IEEE 27th International Conference on Model Driven …, 2024 | 2 | 2024 |
| Using Run-Time Information to Enhance Static Analysis of Machine Learning Code in Notebooks Y Wang, JAH López, U Nilsson, D Varro Companion Proceedings of the 32nd ACM International Conference on the …, 2024 | 2 | 2024 |
| ALPINE: An adaptive language-agnostic pruning method for language models for code M Saad, JAH López, B Chen, D Varró, T Sharma arXiv preprint arXiv:2407.04147, 2024 | 1 | 2024 |
| ModelXGlue: a benchmarking framework for ML tools in MDE JAH López, JS Cuadrado, R Rubei, D Di Ruscio Software and Systems Modeling, 1-24, 2024 | 1 | 2024 |
| Experimenting with modeling-specific word embeddings JAH López, C Durá, JS Cuadrado Software and Systems Modeling, 1-23, 2024 | | 2024 |
| Why do Machine Learning Notebooks Crash? Y Wang, W Meijer, JAH López, U Nilsson, D Varró arXiv preprint arXiv:2411.16795, 2024 | | 2024 |
| The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages B Chen, JAH López, G Mussbacher, D Varró arXiv preprint arXiv:2411.15368, 2024 | | 2024 |
| ModelMate: A recommender for textual modeling languages based on pre-trained language models CD Costa, JAH López, JS Cuadrado Proceedings of the ACM/IEEE 27th International Conference on Model Driven …, 2024 | | 2024 |
Jesús Sánchez CuadradoUniversidad de MurciaZweryfikowany adres z um.es