Scholar
Rosalia Tufano
Google Scholar ID: VFGxqBIAAAAJ
Università della Svizzera Italiana
Citations & Impact
Citations
690
H-index
9
i10-index
9
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including research on code generation, code review, and code completion in international conferences and journals such as TSE, ICSE, and ICSME. Specific papers include:
- - 'On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization', TSE, 2025
- - 'Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?', ICSE, 2025
- - 'On the Generalizability of Transformer Models to Code Completions of Different Lengths', ICSME, 2024
- - 'SEART Data Hub: Streamlining Large-Scale Source Code Mining and Pre-Processing', ICSME, 2024
- - 'Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study', MSR, 2024
- - 'Towards Summarizing Code Snippets Using Pre-Trained Transformers', ICPC, 2024
- - 'Code Review Automation: Strengths and Weaknesses of the State of the Art', TSE, 2024
- - 'A comprehensive evaluation of SZZ Variants through a developer-informed oracle', JSS, 2023
- - 'Doctoral Symposium: Automating Code Review', ICSE 2023
- - 'Automating Code-Related Tasks Through Transformers: The Impact of Pre-training', ICSE 2023
- - 'Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs', ICSME 2022
- - 'Using Reinforcement Learning for Load Testing of Video Games', ICSE 2022
- - 'Using Pre-Trained Models to Boost Code Review Automation', ICSE 2022
- - 'Evaluating SZZ Implementations Through a Developer-informed Oracle', ICSE 2021
- - 'Towards Automating Code Review Activities', ICSE 2021
- Professional Service Experience:
- - Proceeding Co-Chair, 32nd International Conference on Program Comprehension (ICPC 2024)
- - Proceeding Co-Chair, 39th International Conference on Software Maintenance and Evolution (ICSME 2023)
- - Proceeding Co-Chair, 30th International Conference on Program Comprehension (ICPC)
Research Experience
- Since February 2024, working as a Postdoctoral Researcher at Università della Svizzera Italiana, involved in the DEVINTA project, part of the SEART research group, led by Prof. Gabriele Bavota.
Background
- Research Interests: Applying machine learning models to solve software engineering tasks. Professional Field: Software Engineering, Machine Learning.
