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Fabiano Pecorelli

Observed names: Pecorelli, Fabiano, pecorelli, Fabiano
Observed institutions: University of Salerno, Tampere University, Pegaso University, University of Tampere, University of Naples Federico II, Eindhoven University of Technology
ORCID: 0000-0003-2446-4291
Observed ORCID: 0000-0003-2446-4291
OpenAlex ID: A5021041082
Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection
2019 · Fabiano Pecorelli, Fabio Palomba, et al. · IEEE International Conference on Program Comprehension (ICPC) · 135
Cloud Continuum: The Definition
2022 · Sergio Moreschini, Fabiano Pecorelli, et al. · IEEE Access · 130
A large empirical assessment of the role of data balancing in machine-learning-based code smell detection
2020 · Fabiano Pecorelli, Dario Di Nucci, et al. · Journal of Systems and Software · 103
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Software engineering for quantum programming: How far are we?
2022 · Manuel De Stefano, Fabiano Pecorelli, et al. · Journal of Systems and Software · 81
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A critical comparison on six static analysis tools: Detection, agreement, and precision
2022 · Valentina Lenarduzzi, Fabiano Pecorelli, et al. · Journal of Systems and Software · 75
Developer-Driven Code Smell Prioritization
2020 · Fabiano Pecorelli, Fabio Palomba, et al. · International Conference on Mining Software Repositories (MSR) · 67
Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture
2024 · Gilberto Recupito, Fabiano Pecorelli, et al. · Journal of Systems and Software · 59
A Multivocal Literature Review of MLOps Tools and Features
2022 · Gilberto Recupito, Fabiano Pecorelli, et al. · Euromicro Conference on Software Engineering and Advanced Applications (SEAA) · 58
On the role of data balancing for machine learning-based code smell detection
2019 · Fabiano Pecorelli, Dario Di Nucci, et al. · 58
AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study
2025 · Sergio Moreschini, Shahrzad Pour, et al. · Computing · 55
Machine learning-based test smell detection
2024 · Valeria Pontillo, Dario Amoroso d’Aragona, et al. · Empirical Software Engineering · 49
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Just-In-Time Test Smell Detection and Refactoring: The DARTS Project
2020 · Stefano Lambiase, Andrea Cupito, et al. · International Conference on Program Comprehension · 42
Software testing and Android applications: a large-scale empirical study
2021 · Fabiano Pecorelli, Gemma Catolino, et al. · Empirical Software Engineering · 30
Comparing within- and cross-project machine learning algorithms for code smell detection
2021 · Manuel De Stefano, Fabiano Pecorelli, et al. · 28
Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps
2020 · Fabiano Pecorelli, Gemma Catolino, et al. · International Conference on Program Comprehension · 25
The quantum frontier of software engineering: A systematic mapping study
2024 · Manuel De Stefano, Fabiano Pecorelli, et al. · Information and Software Technology · 24
On the adequacy of static analysis warnings with respect to code smell prediction
2022 · Fabiano Pecorelli, Savanna Lujan, et al. · Empirical Software Engineering · 24
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The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems
2021 · Fabiano Pecorelli, Fabio Palomba, et al. · Empirical Software Engineering · 22
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Refactoring Android-specific Energy Smells: A Plugin for Android Studio
2020 · Emanuele Iannone, Fabiano Pecorelli, et al. · International Conference on Program Comprehension · 22
Splicing Community Patterns and Smells: A Preliminary Study
2020 · Manuel De Stefano, Fabiano Pecorelli, et al. · 20
A Critical Comparison on Six Static Analysis Tools: Detection Agreement and Precision
2022 · Valentina Lenarduzzi, Fabiano Pecorelli, et al. · SSRN Electronic Journal · 19
An Empirical Investigation Into the Influence of Software Communities’ Cultural and Geographical Dispersion on Productivity
2023 · Stefano Lambiase, Gemma Catolino, et al. · Journal of Systems and Software · 18
Impacts of software community patterns on process and product: An empirical study
2021 · Manuel De Stefano, Emanuele Iannone, et al. · Science of Computer Programming · 17
cASpER: A Plug-in for Automated Code Smell Detection and Refactoring
2020 · Manuel De Stefano, Michele Simone Gambardella, et al. · International Conference on Advanced Visual Interfaces (AVI) · 14
VITRuM: A Plug-In for the Visualization of Test-Related Metrics
2020 · Fabiano Pecorelli, Gianluca Di Lillo, et al. · International Conference on Advanced Visual Interfaces (AVI) · 14
Works count: 74
Citation count: 1,368
H-index: 20
I10-index: 32
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