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Scopus Author ID: 57210934334

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Employment (4)

Pegaso University: Naples, IT

2024-06-24 to present | Associate Professor (Department of Information Science and Technology)
Employment
Source: Self-asserted source
Fabiano Pecorelli

University of Salerno: Fisciano, IT

2024-01-01 to 2024-06-23 | Postdoctoral Researcher (Computer Science)
Employment
Source: Self-asserted source
Fabiano Pecorelli

Eindhoven University of Technology: Eindhoven, Noord-Brabant, NL

2022-10-01 to 2023-12-31 | Postdoctoral Researcher (Jheronimus Academy of Data Science - JADS)
Employment
Source: Self-asserted source
Fabiano Pecorelli

Tampere University: Tampere, FI

2021-11-01 to 2022-09-30
Employment
Source: Self-asserted source
Fabiano Pecorelli

Education and qualifications (3)

Università degli Studi di Salerno: Fisciano, Campania, IT

2018-10-01 to 2021-10-31 | Ph.D.
Qualification
Source: Self-asserted source
Fabiano Pecorelli

Università degli Studi di Salerno: Fisciano, Campania, IT

2016-09-01 to 2018-09-30 | Master of Science
Qualification
Source: Self-asserted source
Fabiano Pecorelli

Università degli Studi di Salerno: Fisciano, Campania, IT

2013-09-01 to 2016-09-29 | Bachelor of Science
Qualification
Source: Self-asserted source
Fabiano Pecorelli

Works (37)

Acceptance and Development of Quantum Computing in the Netherlands and Germany: Barriers and Remedies From a Multistakeholder Perspective

IEEE Transactions on Engineering Management
2025 | Journal article
DOI: 10.1109/TEM.2024.3493600
Contributors: Julian Martens; Indika Kumara; Dario Di Nucci; Fabiano Pecorelli; Geert Monsieur; Damian Andrew Tamburri; Willem-Jan Van Den Heuvel
Source: check_circle
Crossref

A Large-Scale Empirical Investigation Into Cross-Project Flaky Test Prediction

IEEE Access
2024 | Journal article
DOI: 10.1109/ACCESS.2024.3458184
Contributors: Angelo Afeltra; Alfonso Cannavale; Fabiano Pecorelli; Valeria Pontillo; Fabio Palomba
Source: check_circle
Crossref

The quantum frontier of software engineering: A systematic mapping study

Information and Software Technology
2024-11 | Journal article
DOI: 10.1016/j.infsof.2024.107525
Contributors: Manuel De Stefano; Fabiano Pecorelli; Dario Di Nucci; Fabio Palomba; Andrea De Lucia
Source: check_circle
Crossref

Toward granular search-based automatic unit test case generation

Empirical Software Engineering
2024-07 | Journal article
DOI: 10.1007/s10664-024-10451-x
Contributors: Fabiano Pecorelli; Giovanni Grano; Fabio Palomba; Harald C. Gall; Andrea De Lucia
Source: check_circle
Crossref

Machine learning-based test smell detection

Empirical Software Engineering
2024-03 | Journal article
DOI: 10.1007/s10664-023-10436-2
Contributors: Valeria Pontillo; Dario Amoroso d’Aragona; Fabiano Pecorelli; Dario Di Nucci; Filomena Ferrucci; Fabio Palomba
Source: check_circle
Crossref

A critical comparison on six static analysis tools: Detection, agreement, and precision

Journal of Systems and Software
2023 | Journal article
DOI: 10.1016/j.jss.2022.111575
EID:

2-s2.0-85144822206

Part of ISSN: 01641212
Contributors: Lenarduzzi, V.; Pecorelli, F.; Saarimaki, N.; Lujan, S.; Palomba, F.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Cognitive Cloud: The Definition

Lecture Notes in Networks and Systems
2023 | Book
DOI: 10.1007/978-3-031-20859-1_22
EID:

2-s2.0-85145000797

Part of ISSN: 23673389 23673370
Contributors: Moreschini, S.; Pecorelli, F.; Li, X.; Naz, S.; Albano, M.; Hästbacka, D.; Taibi, D.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

A Critical Comparison on Six Static Analysis Tools: Detection Agreement and Precision

SSRN
2022 | Other
EID:

2-s2.0-85126754024

Part of ISSN: 15565068
Contributors: Lenarduzzi, V.; Pecorelli, F.; Saarimaki, N.; Lujan, S.; Palomba, F.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

CATTO: Just-in-time Test Case Selection and Execution

arXiv
2022 | Other
DOI: 10.48550/arXiv.2206.08718
EID:

2-s2.0-85132969367

Part of ISSN: 23318422
Contributors: D'aragona, D.A.; Pecorelli, F.; Romano, S.; Scanniello, G.; Baldassarre, M.T.; Janes, A.; Lenarduzzi, V.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Cloud Continuum: The Definition

IEEE Access
2022 | Journal article
DOI: 10.1109/ACCESS.2022.3229185
Contributors: Sergio Moreschini; Fabiano Pecorelli; Xiaozhou Li; Sonia Naz; David Hastbacka; Davide Taibi
Source: check_circle
Crossref
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Preferred source (of 2)‎

Impacts of software community patterns on process and product: An empirical study

Science of Computer Programming
2022 | Journal article
DOI: 10.1016/j.scico.2021.102731
EID:

2-s2.0-85117138114

Part of ISSN: 01676423
Contributors: De Stefano, M.; Iannone, E.; Pecorelli, F.; Tamburri, D.A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Machine Learning-Based Test Smell Detection

arXiv
2022 | Other
DOI: 10.48550/arXiv.2208.07574
EID:

2-s2.0-85136257903

Part of ISSN: 23318422
Contributors: Pontillo, V.; Amoroso d’Aragona, D.; Pecorelli, F.; Nucci, D.D.; Ferrucci, F.; Palomba, F.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

OSSARA: Abandonment Risk Assessment for Embedded Open Source Components

IEEE Software
2022 | Journal article
DOI: 10.1109/MS.2022.3163011
EID:

2-s2.0-85127459156

Part of ISSN: 19374194 07407459
Contributors: Li, X.; Moreschini, S.; Pecorelli, F.; Taibi, D.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

PANDORA: Continuous Mining Software Repository and Dataset Generation

Proceedings - 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022
2022 | Conference paper
DOI: 10.1109/SANER53432.2022.00041
EID:

2-s2.0-85135860747
Contributors: Nguyen, H.; Lomio, F.; Pecorelli, F.; Lenarduzzi, V.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis

Proceedings - 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft 2022
2022 | Conference paper
DOI: 10.1145/3524613.3527805
EID:

2-s2.0-85134254541
Contributors: Iannone, E.; De Stefano, M.; Pecorelli, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

QP4SE Welcome from the chairs

QP4SE 2022 - Proceedings of the 1st International Workshop on Quantum Programming for Software Engineering, co-located with ESEC/FSE 2022
2022 | Conference paper
EID:

2-s2.0-85143285972
Contributors: Pecorelli, F.; Barletta, V.S.; Serrano, M.A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Software engineering for quantum programming: How far are we?

Journal of Systems and Software
2022 | Journal article
DOI: 10.1016/j.jss.2022.111326
EID:

2-s2.0-85129805418

Part of ISSN: 01641212
Contributors: De Stefano, M.; Pecorelli, F.; Di Nucci, D.; Palomba, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Software Engineering for Quantum Programming: How Far Are We?

arXiv
2022 | Other
EID:

2-s2.0-85128875200

Part of ISSN: 23318422
Contributors: De Stefano, M.; Pecorelli, F.; Di Nucci, D.; Palomba, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Software testing and Android applications: a large-scale empirical study

Empirical Software Engineering
2022 | Journal article
DOI: 10.1007/s10664-021-10059-5
EID:

2-s2.0-85121141025

Part of ISSN: 15737616 13823256
Contributors: Pecorelli, F.; Catolino, G.; Ferrucci, F.; De Lucia, A.; Palomba, F.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Toward Granular Automatic Unit Test Case Generation

arXiv
2022 | Other
EID:

2-s2.0-85129924503

Part of ISSN: 23318422
Contributors: Pecorelli, F.; Grano, G.; Palomba, F.; Gall, H.C.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

On the adequacy of static analysis warnings with respect to code smell prediction

Empirical Software Engineering
2022-05 | Journal article
DOI: 10.1007/s10664-022-10126-5
Contributors: Fabiano Pecorelli; Savanna Lujan; Valentina Lenarduzzi; Fabio Palomba; Andrea De Lucia
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study

Science of Computer Programming
2021 | Journal article
DOI: 10.1016/j.scico.2021.102611
EID:

2-s2.0-85099620493

Part of ISSN: 01676423
Contributors: Pecorelli, F.; Di Nucci, D.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Comparing within-and cross-project machine learning algorithms for code smell detection

MaLTESQuE 2021 - Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, co-located with ESEC/FSE 2021
2021 | Conference paper
DOI: 10.1145/3472674.3473978
EID:

2-s2.0-85113825122
Contributors: De Stefano, M.; Pecorelli, F.; Palomba, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems

Empirical Software Engineering
2021 | Journal article
DOI: 10.1007/s10664-020-09891-y
EID:

2-s2.0-85101418276

Part of ISSN: 15737616 13823256
Contributors: Pecorelli, F.; Palomba, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

A large empirical assessment of the role of data balancing in machine-learning-based code smell detection

Journal of Systems and Software
2020 | Journal article
DOI: 10.1016/j.jss.2020.110693
EID:

2-s2.0-85086465273

Part of ISSN: 01641212
Contributors: Pecorelli, F.; Di Nucci, D.; De Roover, C.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction

MaLTeSQuE 2020 - Proceedings of the 4th ACM SIGSOFT International Workshop on Machine-Learning Techniques for Software-Quality Evaluation, Co-located with ESEC/FSE 2020
2020 | Conference paper
DOI: 10.1145/3416505.3423559
EID:

2-s2.0-85097308081
Contributors: Lujan, S.; Pecorelli, F.; Palomba, F.; De Lucia, A.; Lenarduzzi, V.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

CASpER: A Plug-in for Automated Code Smell Detection and Refactoring

ACM International Conference Proceeding Series
2020 | Conference paper
DOI: 10.1145/3399715.3399955
EID:

2-s2.0-85117542799
Contributors: De Stefano, M.; Gambardella, M.S.; Pecorelli, F.; Palomba, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Developer-Driven Code Smell Prioritization

Proceedings - 2020 IEEE/ACM 17th International Conference on Mining Software Repositories, MSR 2020
2020 | Conference paper
DOI: 10.1145/3379597.3387457
EID:

2-s2.0-85093670806
Contributors: Pecorelli, F.; Palomba, F.; Khomh, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Just-in-time test smell detection and refactoring: The DARTS project

IEEE International Conference on Program Comprehension
2020 | Conference paper
DOI: 10.1145/3387904.3389296
EID:

2-s2.0-85091903581
Contributors: Lambiase, S.; Cupito, A.; Pecorelli, F.; De Lucia, A.; Palomba, F.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Refactoring android-specific energy smells: A plugin for android studio

IEEE International Conference on Program Comprehension
2020 | Conference paper
DOI: 10.1145/3387904.3389298
EID:

2-s2.0-85091896592
Contributors: Iannone, E.; Pecorelli, F.; Di Nucci, D.; Palomba, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence

Proceedings - 2020 IEEE International Conference on Software Maintenance and Evolution, ICSME 2020
2020 | Conference paper
DOI: 10.1109/ICSME46990.2020.00094
EID:

2-s2.0-85096647169
Contributors: Stefano, M.D.; Pecorelli, F.; Tamburri, D.A.; Palomba, F.; Lucia, A.D.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Splicing Community Patterns and Smells: A Preliminary Study

Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020
2020 | Conference paper
DOI: 10.1145/3387940.3392204
EID:

2-s2.0-85093092679
Contributors: De Stefano, M.; Pecorelli, F.; Tamburri, D.A.; Palomba, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Testing of mobile applications in the wild: A large-scale empirical study on android apps

IEEE International Conference on Program Comprehension
2020 | Conference paper
DOI: 10.1145/3387904.3389256
EID:

2-s2.0-85091901020
Contributors: Pecorelli, F.; Catolino, G.; Ferrucci, F.; De Lucia, A.; Palomba, F.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

VITRuM: A Plug-In for the Visualization of Test-Related Metrics

ACM International Conference Proceeding Series
2020 | Conference paper
DOI: 10.1145/3399715.3399954
EID:

2-s2.0-85123041725
Contributors: Pecorelli, F.; Di Lillo, G.; Palomba, F.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Comparing heuristic and machine learning approaches for metric-based code smell detection

IEEE International Conference on Program Comprehension
2019 | Conference paper
DOI: 10.1109/ICPC.2019.00023
EID:

2-s2.0-85072316200
Contributors: Pecorelli, F.; Palomba, F.; Di Nucci, D.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

On the role of data balancing for machine learning-based code smell detection

MaLTeSQuE 2019 - Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, co-located with ESEC/FSE 2019
2019 | Conference paper
DOI: 10.1145/3340482.3342744
EID:

2-s2.0-85076433758
Contributors: Pecorelli, F.; Di Nucci, D.; De Roover, C.; De Lucia, A.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Test-related factors and post-release defects: An empirical study

ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering
2019 | Conference paper
DOI: 10.1145/3338906.3342500
EID:

2-s2.0-85071929314
Contributors: Pecorelli, F.
Source: Self-asserted source
Fabiano Pecorelli via Scopus - Elsevier

Peer review (14 reviews for 5 publications/grants)

Review activity for Computing. (1)
Review activity for Empirical software engineering. (7)
Review activity for Information and software technology. (1)
Review activity for Science of computer programming. (3)
Review activity for The Journal of systems and software. (2)
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