2026 Massimiliano Di Penta: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	90	619	602	2	2	370	24069

Research.com Recognitions

2026 - Research.com Computer Science in Italy Leader Award
2025 - Research.com Computer Science in Italy Leader Award
2023 - Research.com Computer Science in Italy Leader Award
2022 - Research.com Computer Science in Italy Leader Award

Overview

Massimiliano Di Penta is affiliated with the University of Sannio in Italy and has a research focus primarily within the field of Computer Science. Their contributions span several subfields, including Information Systems, Software, Artificial Intelligence, Computer Science Applications, and Signal Processing.

Their main research topics cover various aspects of software engineering and reliability, such as:

Software Engineering Research
Software Reliability and Analysis Research
Software Testing and Debugging Techniques
Open Source Software Innovations
Advanced Malware Detection Techniques
Safety Systems Engineering in Autonomy
Risk and Safety Analysis

Di Penta has published extensively in numerous venues. The most frequent publication platforms include:

Zenodo (CERN European Organization for Nuclear Research)
arXiv (Cornell University)
ACM Transactions on Software Engineering and Methodology
Empirical Software Engineering
IEEE Transactions on Software Engineering

Some of their recent papers are:

An empirical characterization of bad practices in continuous integration, 2020, Empirical Software Engineering
Self-admitted technical debt practices: a comparison between industry and open-source, 2021, Empirical Software Engineering
Automated Identification and Qualitative Characterization of Safety Concerns Reported in UAV Software Platforms, 2022, ACM Transactions on Software Engineering and Methodology
An empirical characterization of software bugs in open-source Cyber-Physical Systems, 2022, Journal of Systems and Software
Recommending API Function Calls and Code Snippets to Support Software Development, 2021, IEEE Transactions on Software Engineering

Frequent collaborators include:

Fiorella Zampetti
Sebastiano Panichella
Gabriele Bavota
Giuliano Antoniol
Andrea Di Sorbo

Best Publications

An approach for QoS-aware service composition based on genetic algorithms

Gerardo Canfora;Massimiliano Di Penta;Raffaele Esposito;Maria Luisa Villani

1304
Citations
Is it a bug or an enhancement?: a text-based approach to classify change requests

Giuliano Antoniol;Kamel Ayari;Massimiliano Di Penta;Foutse Khomh

496
Citations
An exploratory study of the impact of antipatterns on class change- and fault-proneness

Foutse Khomh;Massimiliano Di Penta;Yann-Gaël Guéhéneuc;Giuliano Antoniol

489
Citations
Service-Oriented Architectures Testing: A Survey

Gerardo Canfora;Massimiliano Penta

429
Citations
A framework for QoS-aware binding and re-binding of composite web services

Gerardo Canfora;Massimiliano Di Penta;Raffaele Esposito;Maria Luisa Villani

419
Citations
QoS-aware replanning of composite Web services

G. Canfora;M. Di Penta;R. Esposito;M.L. Villani

415
Citations
An Exploratory Study of the Impact of Code Smells on Software Change-proneness

Foutse Khomh;Massimiliano Di Penta;Yann-Gael Gueheneuc

398
Citations
API change and fault proneness: a threat to the success of Android apps

Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Massimiliano Di Penta

331
Citations
How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms

Annibale Panichella;Bogdan Dit;Rocco Oliveto;Massimilano Di Penta

321
Citations
Mining Version Histories for Detecting Code Smells

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

316
Citations
Testing services and service-centric systems: challenges and opportunities

G. Canfora;M. Di Penta

310
Citations
Mining StackOverflow to turn the IDE into a self-confident programming prompter

Luca Ponzanelli;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

306
Citations
Release planning of mobile apps based on user reviews

Lorenzo Villarroel;Gabriele Bavota;Barbara Russo;Rocco Oliveto

302
Citations
Detecting bad smells in source code using change history information

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

298
Citations
Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

298
Citations
When and why your code starts to smell bad

Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

296
Citations
Mining energy-greedy API usage patterns in Android apps: an empirical study

Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Rocco Oliveto

290
Citations
An experimental investigation on the innate relationship between quality and refactoring

Gabriele Bavota;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

268
Citations
An empirical study on the maintenance of source code clones

Suresh Thummalapenta;Luigi Cerulo;Lerina Aversano;Massimiliano Di Penta

266
Citations
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

252
Citations
An empirical study on the evolution of design patterns

Lerina Aversano;Gerardo Canfora;Luigi Cerulo;Concettina Del Grosso

132
Citations

Frequent Co-Authors

Rocco Oliveto University of Molise

Gerardo Canfora University of Sannio

Gabriele Bavota Universita della Svizzera Italiana

Giuliano Antoniol Polytechnique Montréal

Andrea De Lucia University of Salerno

Denys Poshyvanyk William & Mary

Sebastiano Panichella University of Zurich

Yann-Gaël Guéhéneuc Concordia University

Marco Torchiano Polytechnic University of Turin

Mario Linares-Vasquez Universidad de Los Andes

External Links

Personal website of Massimiliano Di Penta Google Scholar page

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