2026 Rocco Oliveto: 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	80	1105	1070	14	14	236	16459

Research.com Recognitions

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

Rocco Oliveto is affiliated with the University of Molise in Italy and has a significant body of research spanning computer science and medicine. Their work largely focuses on software engineering and applications in health monitoring.

The scientist's research contributions include studies published in notable venues such as:

Computer Methods and Programs in Biomedicine
IEEE Transactions on Software Engineering
Proceedings of the 44th International Conference on Software Engineering
ACM Transactions on Software Engineering and Methodology
Empirical Software Engineering

Rocco Oliveto's recent papers cover a range of topics including postural control evaluation, transfer learning for software tasks, reinforcement learning in video games testing, software refactoring impacts, and code readability changes during software evolution. Specific recent works include:

Postural control assessment via Microsoft Azure Kinect DK: An evaluation study (2021, Computer Methods and Programs in Biomedicine)
Using Transfer Learning for Code-Related Tasks (2022, IEEE Transactions on Software Engineering)
Using reinforcement learning for load testing of video games (2022, Proceedings of the 44th International Conference on Software Engineering)
How Software Refactoring Impacts Execution Time (2021, ACM Transactions on Software Engineering and Methodology)
How does code readability change during software evolution? (2020, Empirical Software Engineering)

Their frequent co-authors include Simone Scalabrino, Gabriele Bavota, Giovanni Rosa, Gennaro Laudato, and Luca Pascarella, with collaboration counts ranging from 8 to 48 joint publications.

Research dissemination occurs also in key publication venues with multiple works, such as:

arXiv (Cornell University)
ACM Transactions on Software Engineering and Methodology
Empirical Software Engineering
Medico e Bambino pagine elettroniche
IEEE Transactions on Software Engineering

Rocco Oliveto's primary fields of study are computer science and medicine, including focused subfields such as:

Information Systems
Artificial Intelligence
Software
Cardiology and Cardiovascular Medicine
Computer Networks and Communications

The main research topics are centered on software engineering research with particular emphasis on:

Software Engineering Research
Software Reliability and Analysis Research
Software System Performance and Reliability
Software Testing and Debugging Techniques
ECG Monitoring and Analysis
Topic Modeling
Artificial Intelligence in Games

Best Publications

Recovering traceability links in software artifact management systems using information retrieval methods

Andrea De Lucia;Fausto Fasano;Rocco Oliveto;Genoveffa Tortora

504
Citations
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Fausto Fasano

380
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
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
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
On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery

Rocco Oliveto;Malcom Gethers;Denys Poshyvanyk;Andrea De Lucia

249
Citations
The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps

Gabriele Bavota;Mario Linares-Vasquez;Carlos Eduardo Bernal-Cardenas;Massimiliano Di Penta

234
Citations
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps

Fabio Palomba;Mario Linares-Vasquez;Gabriele Bavota;Rocco Oliveto

233
Citations
Automatic query reformulations for text retrieval in software engineering

Sonia Haiduc;Gabriele Bavota;Andrian Marcus;Rocco Oliveto

223
Citations
Are test smells really harmful? An empirical study

Gabriele Bavota;Abdallah Qusef;Rocco Oliveto;Andrea Lucia

217
Citations
When Does a Refactoring Induce Bugs? An Empirical Study

Gabriele Bavota;Bernardino De Carluccio;Andrea De Lucia;Massimiliano Di Penta

215
Citations
Multi-objective Cross-Project Defect Prediction

Gerardo Canfora;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

214
Citations
[Journal First] On the Diffuseness and the Impact on Maintainability of Code Smells: A Large Scale Empirical Investigation

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Fausto Fasano

0
Citations

Frequent Co-Authors

Andrea De Lucia University of Salerno

Gabriele Bavota Universita della Svizzera Italiana

Massimiliano Di Penta University of Sannio

Denys Poshyvanyk William & Mary

Fabio Palomba University of Salerno

Andrian Marcus The University of Texas at Dallas

Genoveffa Tortora University of Salerno

Sebastiano Panichella University of Zurich

Mario Linares-Vasquez Universidad de Los Andes

Gerardo Canfora University of Sannio

External Links

Personal website of Rocco Oliveto Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree in the USA opens the door to a wide array of specialized online programs and career pathways. For those interested in analyzing data, there are numerous top data science programs available that focus on big data, machine learning, and analytics. These programs equip students with in-demand skills needed for roles such as data scientists and analysts.

If you’re considering a future in project leadership outside of tech, check out the best online construction management degree programs. These options blend technical knowledge with business and management courses, often in an accelerated format.

For those looking to enhance their business acumen alongside tech expertise, exploring the most affordable online mba programs can be a strategic choice. An MBA can open leadership roles and entrepreneurial opportunities in the tech industry and beyond.

Additionally, students seeking to quickly upskill or shift careers should consider enrolling in a 1 year masters degree program. These intensive options cover key concepts in a shorter timeframe, ideal for advancing careers or moving into new fields efficiently.