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Author

Matteo Ciniselli

Observed name: Ciniselli, Matteo
ORCID: 0000-0002-0251-4473
Observed ORCID: 0000-0002-0251-4473
OpenAlex ID: A5030004305
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot
2023 · Antonio Mastropaolo, Luca Pascarella, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 222
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An Empirical Study on the Usage of Transformer Models for Code Completion
2021 · Matteo Ciniselli, Nathan Cooper, et al. · IEEE Transactions on Software Engineering · 105
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An Empirical Study on the Usage of BERT Models for Code Completion
2021 · Matteo Ciniselli, Nathan Cooper, et al. · International Conference on Mining Software Repositories (MSR) · 102
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Code Review Automation: Strengths and Weaknesses of the State of the Art
2024 · Rosalia Tufano, Ozren Dabić, et al. · IEEE Transactions on Software Engineering · 80
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Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization
2024 · Antonio Mastropaolo, Matteo Ciniselli, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 54
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From Today’s Code to Tomorrow’s Symphony: The AI Transformation of Developer’s Routine by 2030
2024 · Ketai Qiu, Niccolò Puccinelli, et al. · ACM Transactions on Software Engineering and Methodology · 45
To what extent do deep learning-based code recommenders generate predictions by cloning code from the training set?
2022 · Matteo Ciniselli, Luca Pascarella, et al. · International Conference on Mining Software Repositories (MSR) · 35
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Source Code Recommender Systems: The Practitioners' Perspective
2023 · Matteo Ciniselli, Luca Pascarella, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 16
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Towards Summarizing Code Snippets Using Pre-Trained Transformers
2024 · Antonio Mastropaolo, Matteo Ciniselli, et al. · IEEE International Conference on Program Comprehension (ICPC) · 13
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The Trailer of the ACM 2030 Roadmap for Software Engineering
2024 · Mauro Pezzè, Matteo Ciniselli, et al. · ACM SIGSOFT Software Engineering Notes · 11
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On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions
2024 · Matteo Ciniselli, Alberto Martin-Lopez, et al. · IEEE International Conference on Program Comprehension (ICPC) · 7
Deep Learning-Based Code Completion: On the Impact on Performance of Contextual Information
2024 · Matteo Ciniselli, Luca Pascarella, et al. · IEEE International Conference on Software Maintenance (ICSM) · 3
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Replication package for "To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set?
2022 · Ciniselli, Matteo, Pascarella, Luca, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Uncertainty-Aware Augmentation of Cybersecurity Knowledge through Semantic Entropy
2026 · Jacopo Talpini, Vito Cianchini, et al. · IEEE International Conference on Cyber Security and Resilience (CSR)
Predicting Failures in Smart Human-Centric Ecosystems
2026 · Niccolò Puccinelli, Davide Molinelli, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
Review of: "Finding Missed Code Size Optimizations in Compilers using LLMs"
2025 · Matteo Ciniselli · Qeios
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Review of: "Enhancing Student Writing Skills: Leveraging Transfer Learning and Fine-tuned Language Models for Automated Essay Structure Recognition"
2023 · Matteo Ciniselli
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Dataset for Retrieval Contextual Based
2021 · Ciniselli, Matteo · Zenodo (CERN European Organization for Nuclear Research)
DL-based approach files
2021 · Ciniselli, Matteo · Zenodo (CERN European Organization for Nuclear Research)
Works count: 21
Citation count: 694
H-index: 10
I10-index: 10
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