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ORCIDDavide Di Ruscio
- > Home > Persons > Davide Di Ruscio
Publications
- 2025
[j68]Juri Di Rocco
, Phuong T. Nguyen, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta:
DeepMig: A transformer-based approach to support coupled library and code migrations. Inf. Softw. Technol. 177: 107588 (2025)- [j67]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei:
On the use of large language models in model-driven engineering. Softw. Syst. Model. 24(3): 923-948 (2025) - [c138]Duc S. H. Nguyen, Bach G. Truong, Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio:
Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization. SIGSOFT FSE Companion 2025: 621-625 - [i30]Duc S. H. Nguyen, Bach G. Truong, Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio:
Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization. CoRR abs/2503.10876 (2025) - [i29]Motunrayo Ibiyo, Thinakone Louangdy, Phuong T. Nguyen, Claudio Di Sipio, Davide Di Ruscio:
Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy? CoRR abs/2504.13769 (2025) - [i28]Vuong Hoang Minh, Anh M. T. Bui, Phuong T. Nguyen, Davide Di Ruscio:
Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations. CoRR abs/2504.13772 (2025) - 2024
- [j65]Davide Di Ruscio, Paola Inverardi, Patrizio Migliarini, Phuong T. Nguyen:
Leveraging privacy profiles to empower users in the digital society. Autom. Softw. Eng. 31(1): 16 (2024) - [j63]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta:
GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT. J. Syst. Softw. 214: 112059 (2024) - [j57]Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen:
LEV4REC: A feature-based approach to engineering RSSEs. J. Comput. Lang. 78: 101256 (2024) - [c136]Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen:
Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset. EASE 2024: 351-356 - [c135]Michael Dubem Igbomezie, Phuong T. Nguyen, Davide Di Ruscio:
When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. EASE 2024: 411-416 - [c134]Duc Anh Le, Bui Thi Mai Anh, Phuong T. Nguyen, Davide Di Ruscio:
Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. ESEM 2024: 212-222 - [c133]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta:
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. ESEM 2024: 468-474 - [i26]Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen:
Automated categorization of pre-trained models for software engineering: A case study with a Hugging Face dataset. CoRR abs/2405.13185 (2024) - [i25]Michael Dubem Igbomezie, Phuong T. Nguyen, Davide Di Ruscio:
When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. CoRR abs/2405.16272 (2024) - [i23]Duc Anh Le, Anh M. T. Bui, Phuong T. Nguyen, Davide Di Ruscio:
Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. CoRR abs/2406.15633 (2024) - [i22]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta:
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. CoRR abs/2407.16946 (2024) - [i21]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei:
On the use of Large Language Models in Model-Driven Engineering. CoRR abs/2410.17370 (2024) - [i20]Nam Le Hai, Anh M. T. Bui, Phuong T. Nguyen, Davide Di Ruscio, Rick Kazman:
Improving the detection of technical debt in Java source code with an enriched dataset. CoRR abs/2411.05457 (2024) - 2023
- [j56]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei:
HybridRec: A recommender system for tagging GitHub repositories. Appl. Intell. 53(8): 9708-9730 (2023) - [j55]Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Massimiliano Di Penta:
Fitting missing API puzzles with machine translation techniques. Expert Syst. Appl. 216: 119477 (2023) - [j53]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Alfonso Pierantonio:
MemoRec: a recommender system for assisting modelers in specifying metamodels. Softw. Syst. Model. 22(1): 203-223 (2023) - [j52]Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen:
MORGAN: a modeling recommender system based on graph kernel. Softw. Syst. Model. 22(5): 1427-1449 (2023) - [c128]Thu Thu Ha Doan, Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio:
Too long; didn't read: Automatic summarization of GitHub README.MD with Transformers. EASE 2023: 267-272 - [c125]Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? MSR 2023: 12-24 - [d5]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei:
GItome: a curated dataset for README summarization. Version 1. Zenodo, 2023 [all versions]
- [d4]Claudio Di Sipio, Juri Di Rocco, Riccardo Rubei, Phuong Thanh Nguyen, Davide Di Ruscio:
Gitome: A curated dataset for GitHub README-related tasks. Version 2. Zenodo, 2023 [all versions] - [i19]Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? CoRR abs/2304.10409 (2023) - [i18]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta:
Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier. CoRR abs/2307.09381 (2023) - 2022
- [j49]Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio, Juri Di Rocco, Phuong T. Nguyen:
Providing upgrade plans for third-party libraries: a recommender system using migration graphs. Appl. Intell. 52(10): 12000-12015 (2022) - [j48]Phuong T. Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio:
DeepLib: Machine translation techniques to recommend upgrades for third-party libraries. Expert Syst. Appl. 202: 117267 (2022) - [j41]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Recommending API Function Calls and Code Snippets to Support Software Development. IEEE Trans. Software Eng. 48(7): 2417-2438 (2022) - [c124]Amleto Di Salle, Alessandra Rota, Phuong T. Nguyen, Davide Di Ruscio, Francesca Arcelli Fontana, Irene Sala:
PILOT: synergy between text processing and neural networks to detect self-admitted technical debt. TechDebt@ICSE 2022: 41-45 - [c123]Juri Di Rocco, Claudio Di Sipio, Phuong T. Nguyen, Davide Di Ruscio, Alfonso Pierantonio:
Finding with NEMO: a recommender system to forecast the next modeling operations. MoDELS 2022: 154-164 - [c120]Riccardo Rubei, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen:
Endowing third-party libraries recommender systems with explicit user feedback mechanisms. SANER 2022: 817-821 - [i15]Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio, Juri Di Rocco, Phuong T. Nguyen:
Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs. CoRR abs/2201.08201 (2022) - [i14]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Alfonso Pierantonio:
MemoRec: A Recommender System for Assisting Modelers in Specifying Metamodels. CoRR abs/2203.06068 (2022) - [i13]Davide Di Ruscio, Paola Inverardi, Patrizio Migliarini, Phuong T. Nguyen:
Leveraging Privacy Profiles to Empower Users in the Digital Society. CoRR abs/2204.00011 (2022) - 2021
- [j40]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei:
Development of recommendation systems for software engineering: the CROSSMINER experience. Empir. Softw. Eng. 26(4): 69 (2021) - [j38]Phuong Thanh Nguyen, Davide Di Ruscio, Alfonso Pierantonio, Juri Di Rocco, Ludovico Iovino:
Convolutional neural networks for enhanced classification mechanisms of metamodels. J. Syst. Softw. 172: 110860 (2021) - [j37]Phuong Thanh Nguyen, Juri Di Rocco, Ludovico Iovino, Davide Di Ruscio, Alfonso Pierantonio:
Evaluation of a machine learning classifier for metamodels. Softw. Syst. Model. 20(6): 1797-1821 (2021) - [j36]Phuong Thanh Nguyen, Juri Di Rocco, Ludovico Iovino, Davide Di Ruscio, Alfonso Pierantonio:
Correction to: Evaluation of a machine learning classifier for metamodels. Softw. Syst. Model. 20(6): 1823 (2021) - [c119]Phuong Thanh Nguyen, Davide Di Ruscio, Juri Di Rocco, Claudio Di Sipio, Massimiliano Di Penta:
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems. EASE 2021: 247-253 - [c115]Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio:
Recommending Third-party Library Updates with LSTM Neural Networks. IIR 2021 - [c114]Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Massimiliano Di Penta, Davide Di Ruscio:
Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ. ASE 2021: 253-265 - [c112]Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Phuong Thanh Nguyen:
A GNN-based Recommender System to Assist the Specification of Metamodels and Models. MoDELS 2021: 70-81 - [c109]Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen, Alfonso Pierantonio:
A Lightweight Approach for the Automated Classification and Clustering of Metamodels. MoDELS (Companion) 2021: 477-482 - [c107]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Claudio Pomo:
On the Need for a Body of Knowledge on Recommender Systems (Short paper). KaRS/ComplexRec@RecSys 2021 - [c106]Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong Thanh Nguyen:
A Low-Code Tool Supporting the Development of Recommender Systems. RecSys 2021: 741-744 - [d2]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
crossminer/FOCUS: TSE Focus Replication package. Zenodo, 2021 - [i11]Phuong Thanh Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Recommending API Function Calls and Code Snippets to Support Software Development. CoRR abs/2102.07508 (2021) - [i10]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei:
Development of recommendation systems for software engineering: the CROSSMINER experience. CoRR abs/2103.06987 (2021) - 2020
- [j35]Linh T. Duong, Phuong Thanh Nguyen, Claudio Di Sipio, Davide Di Ruscio:
Automated fruit recognition using EfficientNet and MixNet. Comput. Electron. Agric. 171: 105326 (2020) - [j34]Andrea Capiluppi, Davide Di Ruscio, Juri Di Rocco, Phuong Thanh Nguyen, Nemitari Ajienka:
Detecting Java software similarities by using different clustering techniques. Inf. Softw. Technol. 122: 106279 (2020) - [j33]Riccardo Rubei, Claudio Di Sipio, Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio:
PostFinder: Mining Stack Overflow posts to support software developers. Inf. Softw. Technol. 127: 106367 (2020) - [j31]Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio, Massimiliano Di Penta:
CrossRec: Supporting software developers by recommending third-party libraries. J. Syst. Softw. 161 (2020) - [j29]Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Davide Di Ruscio:
An automated approach to assess the similarity of GitHub repositories. Softw. Qual. J. 28(2): 595-631 (2020) - [c102]Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Phuong Thanh Nguyen:
A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories. EASE 2020: 71-80 - [c101]Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei:
TopFilter: An Approach to Recommend Relevant GitHub Topics. ESEM 2020: 21:1-21:11 - [c97]Angela Barriga, Davide Di Ruscio, Ludovico Iovino, Phuong Thanh Nguyen, Alfonso Pierantonio:
An extensible tool-chain for analyzing datasets of metamodels. MoDELS (Companion) 2020: 50:1-50:8 - [c94]Claudio Di Sipio, Davide Di Ruscio, Phuong Thanh Nguyen:
Democratizing the development of recommender systems by means of low-code platforms. MoDELS (Companion) 2020: 68:1-68:9 - [d1]Phuong T. Nguyen, Davide Di Ruscio, Alfonso Pierantonio, Juri Di Rocco, Ludovico Iovino:
MDEGroup/memoCNN: JSS - Convolutional neural networks for enhanced classification mechanisms of metamodels. Zenodo, 2020 - 2019
- [c92]Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio:
Building Information Systems Using Collaborative-Filtering Recommendation Techniques. CAiSE Workshops 2019: 214-226 - [c91]Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio:
Enabling heterogeneous recommendations in OSS development: what's done and what's next in CROSSMINER. EASE 2019: 326-331 - [c89]Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio, Lina Ochoa, Thomas Degueule, Massimiliano Di Penta:
FOCUS: a recommender system for mining API function calls and usage patterns. ICSE 2019: 1050-1060 - [c88]Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio, Alfonso Pierantonio, Ludovico Iovino:
Automated Classification of Metamodel Repositories: A Machine Learning Approach. MoDELS 2019: 272-282 - 2018
- [c85]Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Davide Di Ruscio:
CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects. SEAA 2018: 388-395 - [c82]Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio:
Mining Software Repositories to Support OSS Developers: A Recommender Systems Approach. IIR 2018 - [c78]Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio:
Knowledge-aware Recommender System for Software Development. KaRS@RecSys 2018: 16-22
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