H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 6,311 78 World Ranking 8146 National Ranking 21

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Software
  • Software engineering

His primary areas of study are Software engineering, Programming language, Code smell, Java and Code refactoring. His Software engineering research integrates issues from Enterprise architecture framework, Applications architecture, View model, Space-based architecture and Software architecture description. His work investigates the relationship between Programming language and topics such as Variety that intersect with problems in Component, Formal specification, Open architecture and COBOL.

In his study, Data science is inextricably linked to Software maintenance, which falls within the broad field of Code smell. His work deals with themes such as Aspect-oriented programming, Maintainability, Data mining and Reverse engineering, which intersect with Java. His study in Code refactoring is interdisciplinary in nature, drawing from both Unit testing and Extreme programming.

His most cited work include:

  • A Systematic Survey of Program Comprehension through Dynamic Analysis (314 citations)
  • Java quality assurance by detecting code smells (307 citations)
  • The ASF+SDF Meta-environment: A Component-Based Language Development Environment (306 citations)

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

Leon Moonen mainly focuses on Software engineering, Software system, Programming language, Software and Data mining. His Software engineering research is multidisciplinary, incorporating elements of Code refactoring, Software maintenance, Software development, Reverse engineering and Source code. He interconnects Program comprehension, Maintainability and Code smell in the investigation of issues within Software maintenance.

His research investigates the connection with Programming language and areas like Natural language processing which intersect with concerns in Subtyping. His work in the fields of Software, such as MISRA C and Extreme programming, overlaps with other areas such as Quality. His Data mining research includes elements of Change impact analysis, Data science and Software inspection.

He most often published in these fields:

  • Software engineering (47.15%)
  • Software system (30.89%)
  • Programming language (26.83%)

What were the highlights of his more recent work (between 2015-2021)?

  • Data mining (21.14%)
  • Software system (30.89%)
  • Association rule learning (6.50%)

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

His scientific interests lie mostly in Data mining, Software system, Association rule learning, Change impact analysis and Software. His work carried out in the field of Data mining brings together such families of science as Principal component analysis and Dimensionality reduction. His biological study focuses on Program comprehension.

His Change impact analysis study incorporates themes from Software maintenance, Data science and Artificial intelligence. His Software engineering research extends to Software, which is thematically connected. Leon Moonen has included themes like Anomaly detection, Code review, Artificial immune system and Robustness in his Software engineering study.

Between 2015 and 2021, his most popular works were:

  • An Industrial Survey of Safety Evidence Change Impact Analysis Practice (42 citations)
  • Generalizing the Analysis of Evolutionary Coupling for Software Change Impact Analysis (29 citations)
  • Exploring the Effects of History Length and Age on Mining Software Change Impact (12 citations)

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

  • Software
  • Programming language
  • Software engineering

Association rule learning, Data mining, Change impact analysis, Software system and Algorithm design are his primary areas of study. His Association rule learning research is multidisciplinary, relying on both Value, Variety and Contrast. Change impact analysis is a subfield of Software that Leon Moonen explores.

His Software study combines topics in areas such as System safety, Systems engineering and Safety standards. Specifically, his work in Software system is concerned with the study of Software maintenance. His studies examine the connections between Algorithm design and genetics, as well as such issues in Measure, with regards to Machine learning, Artificial intelligence, Data set, Set and Unsupervised learning.

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.

Top Publications

The ASF+SDF Meta-environment: A Component-Based Language Development Environment

Mark G. J. van den Brand;Arie van Deursen;Jan Heering;H. A. de Jong.
compiler construction (2001)

513 Citations

The Asf+Sdf Meta-Environment: A Component-Based Language Development Environment

M.G.J. van den Brand;A. van Deursen;J. Heering;H.A. de Jong.
Electronic Notes in Theoretical Computer Science (2001)

512 Citations

Java quality assurance by detecting code smells

E. van Emden;L. Moonen.
working conference on reverse engineering (2002)

512 Citations

A Systematic Survey of Program Comprehension through Dynamic Analysis

B. Cornelissen;A. Zaidman;A. van Deursen;L. Moonen.
IEEE Transactions on Software Engineering (2009)

492 Citations

Refactoring test code

Arie Deursen;Leon M.F. Moonen;A. Bergh;Gerard Kok.
Report - Software engineering (2001)

372 Citations

Generating robust parsers using island grammars

L. Moonen.
(2001)

365 Citations

Identifying aspects using fan-in analysis

M. Marin;A. van Deursen;L. Moonen.
working conference on reverse engineering (2004)

248 Citations

Exploring the impact of inter-smell relations on software maintainability: an empirical study

Aiko Yamashita;Leon Moonen.
international conference on software engineering (2013)

204 Citations

Do developers care about code smells? An exploratory survey

Aiko Yamashita;Leon Moonen.
working conference on reverse engineering (2013)

198 Citations

Do code smells reflect important maintainability aspects

Aiko Yamashita;Leon Moonen.
international conference on software maintenance (2012)

190 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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

Contact us

Top Scientists Citing Leon Moonen

Fabio Palomba

Fabio Palomba

University of Salerno

Publications: 49

Andy Zaidman

Andy Zaidman

Delft University of Technology

Publications: 46

Andrea De Lucia

Andrea De Lucia

University of Salerno

Publications: 44

Yann-Gaël Guéhéneuc

Yann-Gaël Guéhéneuc

Concordia University

Publications: 39

Foutse Khomh

Foutse Khomh

Polytechnique Montréal

Publications: 38

Alessandro Garcia

Alessandro Garcia

Pontifical Catholic University of Rio de Janeiro

Publications: 36

Rocco Oliveto

Rocco Oliveto

University of Molise

Publications: 34

Paul Klint

Paul Klint

Centrum Wiskunde & Informatica

Publications: 33

Arie van Deursen

Arie van Deursen

Delft University of Technology

Publications: 30

James R. Cordy

James R. Cordy

Queen's University

Publications: 30

Gabriele Bavota

Gabriele Bavota

Universita della Svizzera Italiana

Publications: 28

Stéphane Ducasse

Stéphane Ducasse

University of Lille

Publications: 27

Massimiliano Di Penta

Massimiliano Di Penta

University of Sannio

Publications: 26

Oscar Nierstrasz

Oscar Nierstrasz

University of Bern

Publications: 25

Serge Demeyer

Serge Demeyer

University of Antwerp

Publications: 25

Something went wrong. Please try again later.