H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 67 Citations 12,038 176 World Ranking 1042 National Ranking 15

Overview

What is he best known for?

The fields of study he is best known for:

  • Software
  • Artificial intelligence
  • Operating system

His primary scientific interests are in Software, Empirical research, Source code, Software engineering and Code smell. His work deals with themes such as Artifact, Data mining, Identification and Information retrieval, which intersect with Software. His Empirical research study combines topics in areas such as Recommender system, World Wide Web, Artificial intelligence, User experience design and Mining software repositories.

His Source code research incorporates elements of Software maintenance and Heuristics. His research investigates the link between Software engineering and topics such as Software system that cross with problems in Code refactoring, Unified Modeling Language, Maintainability and Reliability engineering. His Code smell study combines topics from a wide range of disciplines, such as Computer security, Code and Test.

His most cited work include:

  • Recovering traceability links in software artifact management systems using information retrieval methods (337 citations)
  • API change and fault proneness: a threat to the success of Android apps (213 citations)
  • How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms (203 citations)

What are the main themes of his work throughout his whole career to date?

Rocco Oliveto mainly investigates Software, Software engineering, Source code, Traceability and Data mining. His studies in Software integrate themes in fields like Empirical research, World Wide Web, Information retrieval and Documentation. His work carried out in the field of Software engineering brings together such families of science as Software system, Software quality, Software maintenance, Software development and Software evolution.

Rocco Oliveto has included themes like Java, Static program analysis, Code smell and Code refactoring in his Source code study. The various areas that Rocco Oliveto examines in his Traceability study include Requirements traceability, Reverse semantic traceability, Tracing, Vector space model and Search engine indexing. His Data mining research is multidisciplinary, incorporating elements of Machine learning, False positive paradox and Artificial intelligence.

He most often published in these fields:

  • Software (40.78%)
  • Software engineering (33.01%)
  • Source code (28.64%)

What were the highlights of his more recent work (between 2017-2021)?

  • Software engineering (33.01%)
  • Code (11.65%)
  • Software (40.78%)

In recent papers he was focusing on the following fields of study:

His main research concerns Software engineering, Code, Software, Code smell and Source code. The study incorporates disciplines such as Sentiment analysis, Android, Root cause and Mobile apps in addition to Software engineering. His Software research integrates issues from Empirical research and World Wide Web.

His Code smell research includes themes of Software system, Maintainability, Data science and Software evolution. His biological study spans a wide range of topics, including Readability, Information retrieval, Internet privacy and Code refactoring. Rocco Oliveto interconnects Program comprehension and Software maintenance in the investigation of issues within Information retrieval.

Between 2017 and 2021, his most popular works were:

  • On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation (117 citations)
  • Sentiment analysis for software engineering: how far can we go? (76 citations)
  • A Developer Centered Bug Prediction Model (58 citations)

In his most recent research, the most cited papers focused on:

  • Software
  • Artificial intelligence
  • Operating system

His scientific interests lie mostly in Code smell, Software, Software engineering, Code and Artificial intelligence. His Code smell research is multidisciplinary, relying on both Maintainability, Data science and Software evolution. His study in Empirical research extends to Software with its themes.

His research in Empirical research intersects with topics in Data mining, Component-based software engineering, Exploit, Entropy and Mining software repositories. Rocco Oliveto combines subjects such as Sentiment analysis, Software system, Personalization and Source code with his study of Software engineering. His study in the field of Deep learning also crosses realms of Set.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Andrea De Lucia;Fausto Fasano;Rocco Oliveto;Genoveffa Tortora.
ACM Transactions on Software Engineering and Methodology (2007)

475 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.
international conference on software engineering (2013)

302 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.
foundations of software engineering (2013)

279 Citations

When and why your code starts to smell bad

Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto.
international conference on software engineering (2015)

259 Citations

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

Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Rocco Oliveto.
mining software repositories (2014)

240 Citations

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

Luca Ponzanelli;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto.
mining software repositories (2014)

231 Citations

Detecting bad smells in source code using change history information

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto.
automated software engineering (2013)

227 Citations

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

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto.
international conference on software maintenance (2014)

218 Citations

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

Rocco Oliveto;Malcom Gethers;Denys Poshyvanyk;Andrea De Lucia.
international conference on program comprehension (2010)

215 Citations

Mining Version Histories for Detecting Code Smells

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto.
IEEE Transactions on Software Engineering (2015)

214 Citations

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Best Scientists Citing Rocco Oliveto

David Lo

David Lo

Singapore Management University

Publications: 85

Denys Poshyvanyk

Denys Poshyvanyk

William & Mary

Publications: 72

Fabio Palomba

Fabio Palomba

University of Salerno

Publications: 53

Xin Xia

Xin Xia

Monash University

Publications: 51

Jane Cleland-Huang

Jane Cleland-Huang

University of Notre Dame

Publications: 47

Marouane Kessentini

Marouane Kessentini

University of Michigan–Ann Arbor

Publications: 42

Giuliano Antoniol

Giuliano Antoniol

Polytechnique Montréal

Publications: 42

Yann-Gaël Guéhéneuc

Yann-Gaël Guéhéneuc

Concordia University

Publications: 37

Foutse Khomh

Foutse Khomh

Polytechnique Montréal

Publications: 37

Harald C. Gall

Harald C. Gall

University of Zurich

Publications: 36

Andy Zaidman

Andy Zaidman

Delft University of Technology

Publications: 34

Mario Linares-Vasquez

Mario Linares-Vasquez

Universidad de Los Andes

Publications: 33

Gabriele Bavota

Gabriele Bavota

Universita della Svizzera Italiana

Publications: 33

Ahmed E. Hassan

Ahmed E. Hassan

Queen's University

Publications: 33

Andrea De Lucia

Andrea De Lucia

University of Salerno

Publications: 32

Zhenchang Xing

Zhenchang Xing

Australian National University

Publications: 31

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