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Filomena Ferrucci

Filomena Ferrucci

D-Index & Metrics

Computer Science

D-Index
35
Citations
4390
World Ranking
11804
National Ranking
399

Overview

Filomena Ferrucci is a researcher affiliated with the University of Salerno in Italy. Their academic work spans various aspects of computer science, with a particular focus on software engineering and its related disciplines.

The main field of study for Filomena Ferrucci is Computer Science, with a total of 104 publications. Within this domain, their subfields of expertise include Information Systems, Software, Artificial Intelligence, Computer Science Applications, and Signal Processing.

Their research covers several key topics:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Software Engineering Techniques and Practices
  • Software System Performance and Reliability
  • Open Source Software Innovations

Filomena Ferrucci has published in a range of venues, emphasizing empirical and theoretical contributions. Frequent publication venues include:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Empirical Software Engineering
  • Journal of Systems and Software
  • ACM Transactions on Software Engineering and Methodology

In terms of collaborations, Filomena Ferrucci has coauthored work extensively with several researchers, notably Fabio Palomba, Gemma Catolino, Stefano Lambiase, Andrea De Lucia, and Valeria Pontillo.

Their recent notable publications include:

  • "The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study" (2022), published in IEEE Transactions on Software Engineering
  • "Fairness-aware machine learning engineering: how far are we?" (2023), published in Empirical Software Engineering
  • "Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques" (2022), published in PLoS ONE
  • "On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review" (2022), published in Journal of Systems and Software
  • "Software testing and Android applications: a large-scale empirical study" (2021), published in Empirical Software Engineering

Best Publications

  • Class point: an approach for the size estimation of object-oriented systems

    G. Costagliola;F. Ferrucci;G. Tortora;G. Vitiello

  • Exploratory spatio-temporal data mining and visualization

    P. Compieta;S. Di Martino;M. Bertolotto;F. Ferrucci

  • Recommending and localizing change requests for mobile apps based on user reviews

    Fabio Palomba;Pasquale Salza;Adelina Ciurumelea;Sebastiano Panichella

  • Gender diversity and women in software teams: how do they affect community smells?

    Gemma Catolino;Fabio Palomba;Damian A. Tamburri;Alexander Serebrenik

  • Not All Bugs Are the Same:Understanding, Characterizing, and Classifying Bug Types

    Gemma Catolino;Fabio Palomba;Andy Zaidman;Filomena Ferrucci

  • A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites

    Linda Di Geronimo;Filomena Ferrucci;Alfonso Murolo;Federica Sarro

  • A genetic algorithm to configure support vector machines for predicting fault-prone components

    Sergio Di Martino;Filomena Ferrucci;Carmine Gravino;Federica Sarro

  • Using tabu search to configure support vector regression for effort estimation

    A. Corazza;S. Di Martino;F. Ferrucci;C. Gravino

  • The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study

    Unknown

  • Not going to take this anymore: multi-objective overtime planning for software engineering projects

    Filomena Ferrucci;Mark Harman;Jian Ren;Federica Sarro

  • Search-Based Software Project Management

    Filomena Ferrucci;Mark Harman;Federica Sarro

  • How effective is Tabu search to configure support vector regression for effort estimation

    A. Corazza;S. Di Martino;F. Ferrucci;C. Gravino

  • Genetic Programming for Effort Estimation: An Analysis of the Impact of Different Fitness Functions

    Filomena Ferrucci;Carmine Gravino;Rocco Oliveto;Federica Sarro

  • Symbol-Relation Grammars

    F. Ferrucci;G. Pacini;G. Satta;M.I. Sessa

  • Effort estimation modeling techniques: a case study for web applications

    Gennaro Costagliola;Sergio Di Martino;Filomena Ferrucci;Carmine Gravino

  • Agile Methodologies in Education: A Review

    Pasquale Salza;Paolo Musmarra;Filomena Ferrucci

  • Enhancing change prediction models using developer-related factors

    Gemma Catolino;Fabio Palomba;Andrea De Lucia;Filomena Ferrucci

  • Cross-company vs. single-company web effort models using the Tukutuku database: An extended study

    Emilia Mendes;Sergio Di Martino;Filomena Ferrucci;Carmine Gravino

  • A predictive parser for visual languages specified by relation grammars

    F. Ferrucci;G. Tortora;M. Tucci;G. Vitiello

  • Cross-project just-in-time bug prediction for mobile apps: an empirical assessment

    Gemma Catolino;Dario Di Nucci;Filomena Ferrucci

  • Using Hadoop MapReduce for parallel genetic algorithms: A comparison of the global, grid and island models

    Filomena Ferrucci;Pasquale Salza;Federica Sarro

  • A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction

    F. Sarro;S. Di Martino;F. Ferrucci;C. Gravino

Frequent Co-Authors

Federica Sarro
Federica Sarro University College London
Genoveffa Tortora
Genoveffa Tortora University of Salerno
Fabio Palomba
Fabio Palomba University of Salerno
Emilia Mendes
Emilia Mendes Aarhus University
Andrea De Lucia
Andrea De Lucia University of Salerno
Andy Zaidman
Andy Zaidman Delft University of Technology
Rocco Oliveto
Rocco Oliveto University of Molise
Mark Harman
Mark Harman University College London
Alexander Serebrenik
Alexander Serebrenik Eindhoven University of Technology
Damian A. Tamburri
Damian A. Tamburri Eindhoven University of Technology

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