Alberto Bacchelli

University of Zurich — Switzerland

Computer Science · Physical Sciences

41h-index6.8kcitations281works1.32yr avg
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Research Topics

Software Engineering Research(157), Software Reliability and Analysis Research(59), Software Engineering Techniques and Practices(51), Open Source Software Innovations(48), Software Testing and Debugging Techniques(42)

Publications281 total

The price of precision: the cost of preprocessing for automated code revision in code review
Empirical Software Engineering·2025Open Access
On Interaction Effects in Greybox Fuzzing
arXiv (Cornell University)·2025Open Access
Detecting Semantic Clones of Unseen Functionality
ArXiv.org·2025Open Access
Automated Generation of Issue-Reproducing Tests by Combining LLMs and Search-Based Testing
arXiv (Cornell University)·2025Open Access
Observing Fine-Grained Changes in Jupyter Notebooks During Development Time
arXiv (Cornell University)·2025Open Access
One Size Does Not Fit All: Investigating Efficacy of Perplexity in Detecting LLM-Generated Code
ACM Transactions on Software Engineering and Methodology·2025Open Access
Large Language Models for In-File Vulnerability Localization Can Be “Lost in the End”
Proceedings of the ACM on software engineering.·2025· 3 citedOpen Access
Empirically Evaluating the Impact of Object-Centric Breakpoints on the Debugging of Object-Oriented Programs
Proceedings of the ACM on software engineering.·2025Open Access
Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories
2025· 1 cited
Simplifying software compliance: AI technologies in drafting technical documentation for the AI Act
Empirical Software Engineering·2025· 3 citedOpen Access
Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews
Empirical Software Engineering·2025
Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories
arXiv (Cornell University)·2025Open Access
Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
arXiv (Cornell University)·2025Open Access
Beyond the lab: An in-depth analysis of real-world practices in government-to-citizen software user documentation
Information and Software Technology·2025Open Access
Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews
Empirical Software Engineering·2025Open Access
Observing Fine-Grained Changes in Jupyter Notebooks During Development Time
SSRN Electronic Journal·2025· 1 citedOpen Access
Simplifying Software Compliance: AI Technologies in Drafting Technical Documentation for the AI Act
SSRN Electronic Journal·2025· 1 citedOpen Access
Prioritizing code review requests to improve review efficiency: a simulation study
Empirical Software Engineering·2024
GPP: A Graph-Powered Prioritizer for Code Review Requests
2024
A preliminary investigation on using multi-task learning to predict change performance in code reviews
Empirical Software Engineering·2024· 1 cited
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Frequent Co-authors

Michele Lanza(13), Fabio Palomba(9), Magiel Bruntink(8), Davide Spadini(7), Luca Ponzanelli(6), Luca Pascarella(6), Romain Robbes(5), Anand Ashok Sawant(5), Maurício Aniche(4), Marco D’Ambros(4), Christian Bird(3), Vincent J. Hellendoorn(3), Andrea Mocci(3), Harald C. Gall(3), Georgios Gousios(2), Margaret‐Anne Storey(2), Andy Zaidman(2), Prémkumar Dévanbu(2), Marco Castelluccio(2), Vladimir Kovalenko(2)