Filomena FERRUCCI

Filomena FERRUCCI

Università degli Studi di Salerno

H-index: 39

Europe-Italy

About Filomena FERRUCCI

Filomena FERRUCCI, With an exceptional h-index of 39 and a recent h-index of 27 (since 2020), a distinguished researcher at Università degli Studi di Salerno, specializes in the field of empirical software engineering, software development effort estimation, software metrics, software-development environments, and.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Empirical Investigation Into the Influence of Software Communities’ Cultural and Geographical Dispersion on Productivity

Fairness-aware machine learning engineering: how far are we?

On the adoption and effects of source code reuse on defect proneness and maintenance effort

Test code flakiness in mobile apps: The developer’s perspective

When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems

Machine learning-based test smell detection

Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be?

Security Testing in The Wild: An Interview Study

Filomena FERRUCCI Information

University

Position

Professor of Software Engineering Department of Computer Science (Italy)

Citations(all)

4835

Citations(since 2020)

2192

Cited By

3448

hIndex(all)

39

hIndex(since 2020)

27

i10Index(all)

116

i10Index(since 2020)

62

Email

University Profile Page

Università degli Studi di Salerno

Google Scholar

View Google Scholar Profile

Filomena FERRUCCI Skills & Research Interests

empirical software engineering

software development effort estimation

software metrics

software-development environments

and

Top articles of Filomena FERRUCCI

Title

Journal

Author(s)

Publication Date

An Empirical Investigation Into the Influence of Software Communities’ Cultural and Geographical Dispersion on Productivity

Journal of Systems and Software

Stefano Lambiase

Gemma Catolino

Fabiano Pecorelli

Damian A Tamburri

Fabio Palomba

...

2024/2/1

Fairness-aware machine learning engineering: how far are we?

Empirical Software Engineering

Carmine Ferrara

Giulia Sellitto

Filomena Ferrucci

Fabio Palomba

Andrea De Lucia

2024/1

On the adoption and effects of source code reuse on defect proneness and maintenance effort

Empirical Software Engineering

Giammaria Giordano

Gerardo Festa

Gemma Catolino

Fabio Palomba

Filomena Ferrucci

...

2024/1

Test code flakiness in mobile apps: The developer’s perspective

Information and Software Technology

Valeria Pontillo

Fabio Palomba

Filomena Ferrucci

2024/4/1

When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems

arXiv preprint arXiv:2403.08311

Gilberto Recupito

Giammaria Giordano

Filomena Ferrucci

Dario Di Nucci

Fabio Palomba

2024/3/13

Machine learning-based test smell detection

Empirical Software Engineering

Valeria Pontillo

Dario Amoroso d’Aragona

Fabiano Pecorelli

Dario Di Nucci

Filomena Ferrucci

...

2024/3

Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be?

ACM Transactions on Software Engineering and Methodology

Emanuele Iannone

Giulia Sellitto

Emanuele Iaccarino

Filomena Ferrucci

Andrea De Lucia

...

2023

Security Testing in The Wild: An Interview Study

Dario Di Dario

Valeria Pontillo

Stefano Lambiase

Filomena Ferrucci

Fabio Palomba

2023/9/6

SERGE–Serious Game for the Education of Risk Management in Software Project Management

Giusy Annunziata

Stefano Lambiase

Fabio Palomba

Filomena Ferrucci

2023

The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells

Giammaria Giordano

Giulia Sellitto

Aurelio Sepe

Fabio Palomba

Filomena Ferrucci

2023/9/6

Test Code Refactoring Unveiled: Where and How Does It Affect Test Code Quality and Effectiveness?

arXiv preprint arXiv:2308.09547

Luana Martins

Valeria Pontillo

Heitor Costa

Filomena Ferrucci

Fabio Palomba

...

2023/8/18

Inferring test models from user bug reports using multi-objective search

Empirical Software Engineering

Giovani Guizzo

Francesco Califano

Federica Sarro

Filomena Ferrucci

Mark Harman

2023/7

Echo: An approach to enhance use case quality exploiting large language models

Gabriele De Vito

Fabio Palomba

Carmine Gravino

Sergio Di Martino

Filomena Ferrucci

2023/9/6

QuantuMoonLight: A low-code platform to experiment with quantum machine learning

SoftwareX

Francesco Amato

Matteo Cicalese

Luca Contrasto

Giacomo Cubicciotti

Gerardo D’Ambola

...

2023/5/1

Meet C4SE: Your New Collaborator for Software Engineering Tasks

Gabriele De Vito

Stefano Lambiase

Fabio Palomba

Filomena Ferrucci

2023/9/6

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

Empirical Software Engineering

Fabiano Pecorelli

Gemma Catolino

Filomena Ferrucci

Andrea De Lucia

Fabio Palomba

2022/3

“There and Back Again?” on the influence of software community dispersion over productivity

Stefano Lambiase

Gemma Catolino

Fabiano Pecorelli

Damian A Tamburri

Fabio Palomba

...

2022/8/31

The secret life of software vulnerabilities: A large-scale empirical study

IEEE Transactions on Software Engineering

Emanuele Iannone

Roberta Guadagni

Filomena Ferrucci

Andrea De Lucia

Fabio Palomba

2022/1/6

Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques

Plos one

Fabiola De Marco

Filomena Ferrucci

Michele Risi

Genoveffa Tortora

2022/8/18

Static test flakiness prediction: How far can we go?

Empirical Software Engineering

Valeria Pontillo

Fabio Palomba

Filomena Ferrucci

2022/12

See List of Professors in Filomena FERRUCCI University(Università degli Studi di Salerno)