D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 6,623 199 World Ranking 5822 National Ranking 48

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Software
  • Operating system

Martin Monperrus focuses on Java, Programming language, Software engineering, Source code and Android. His biological study spans a wide range of topics, including Process, Test suite, Correctness, Software and Debugging. His research in Software focuses on subjects like Maintenance engineering, which are connected to Software development.

In the field of Programming language, his study on Compiler, Parsing, Java source code and Metaprogramming overlaps with subjects such as Formalism. His Software engineering research is multidisciplinary, incorporating elements of Software bug and State. Martin Monperrus combines subjects such as Test, Test case, Data mining, Code and Line with his study of Source code.

His most cited work include:

  • Learning from examples to improve code completion systems (255 citations)
  • Fine-grained and accurate source code differencing (236 citations)
  • Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs (190 citations)

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

Software, Java, Software engineering, Programming language and Code are his primary areas of study. His research in Software intersects with topics in Test, Test case, Data mining and Source code. His research integrates issues of Machine learning and Artificial intelligence in his study of Test.

The concepts of his Java study are interwoven with issues in Field, Database, Algorithm, Correctness and Set. His Software engineering study also includes fields such as

  • Software development which intersects with area such as Software system,
  • Test suite together with Benchmark. His work on Bytecode and JavaScript as part of general Programming language research is often related to Modulo, thus linking different fields of science.

He most often published in these fields:

  • Software (30.68%)
  • Java (29.48%)
  • Software engineering (28.29%)

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

  • Java (29.48%)
  • Software engineering (28.29%)
  • Code (16.33%)

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

The scientist’s investigation covers issues in Java, Software engineering, Code, Artificial intelligence and Software. His Java study introduces a deeper knowledge of Programming language. His Software engineering research is multidisciplinary, incorporating perspectives in Software repair, Software development, Reuse, Software bug and Software system.

His Code research includes themes of Information retrieval and Leverage. His Artificial intelligence study combines topics from a wide range of disciplines, such as Codebase, Machine learning, Software maintenance and Pattern recognition. His work deals with themes such as Theoretical computer science and Source code, which intersect with Software.

Between 2017 and 2021, his most popular works were:

  • Automatic Software Repair: A Bibliography (174 citations)
  • SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair (64 citations)
  • Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities (48 citations)

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

  • Software
  • Programming language
  • Operating system

Martin Monperrus mainly focuses on Software engineering, Artificial intelligence, Code, Software and Source code. The study incorporates disciplines such as Java, Pipeline, Test case and Software system in addition to Software engineering. Martin Monperrus has researched Artificial intelligence in several fields, including Software bug, Machine learning and Pattern recognition.

Many of his research projects under Software are closely connected to Context and Space exploration with Context and Space exploration, tying the diverse disciplines of science together. His Source code research includes elements of Divide and conquer algorithms, Supervised learning and Theoretical computer science. In his study, Programming language is inextricably linked to XML, which falls within the broad field 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

Fine-grained and accurate source code differencing

Jean-Rémy Falleri;Floréal Morandat;Xavier Blanc;Matias Martinez.
automated software engineering (2014)

450 Citations

Learning from examples to improve code completion systems

Marcel Bruch;Martin Monperrus;Mira Mezini.
foundations of software engineering (2009)

394 Citations

Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs

Jifeng Xuan;Matias Martinez;Favio DeMarco;Maxime Clement.
IEEE Transactions on Software Engineering (2017)

318 Citations

Dexpler: converting Android Dalvik bytecode to Jimple for static analysis with Soot

Alexandre Bartel;Jacques Klein;Yves Le Traon;Martin Monperrus.
state of the art in java program analysis (2012)

298 Citations

Automatic Software Repair: A Bibliography

Martin Monperrus.
ACM Computing Surveys (2018)

269 Citations

Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset

Matias Martinez;Thomas Durieux;Romain Sommerard;Jifeng Xuan.
foundations of software engineering (2017)

245 Citations

SPOON: A library for implementing analyses and transformations of Java source code

Renaud Pawlak;Martin Monperrus;Martin Monperrus;Nicolas Petitprez;Carlos Noguera.
Software - Practice and Experience (2016)

227 Citations

ASTOR: a program repair library for Java (demo)

Matias Martinez;Martin Monperrus.
international symposium on software testing and analysis (2016)

214 Citations

Dexpler: Converting Android Dalvik Bytecode to Jimple for Static Analysis with Soot

Alexandre Bartel;Jacques Klein;Martin Monperrus;Yves Le Traon.
arXiv: Software Engineering (2012)

207 Citations

Mining software repair models for reasoning on the search space of automated program fixing

Matias Martinez;Martin Monperrus.
Empirical Software Engineering (2015)

189 Citations

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

Contact us

Best Scientists Citing Martin Monperrus

Tegawendé F. Bissyandé

Tegawendé F. Bissyandé

University of Luxembourg

Publications: 55

Jacques Klein

Jacques Klein

University of Luxembourg

Publications: 52

David Lo

David Lo

Singapore Management University

Publications: 50

Yves Le Traon

Yves Le Traon

University of Luxembourg

Publications: 37

Xin Xia

Xin Xia

Huawei Technologies (China)

Publications: 30

Gabriele Bavota

Gabriele Bavota

Universita della Svizzera Italiana

Publications: 24

Abhik Roychoudhury

Abhik Roychoudhury

National University of Singapore

Publications: 23

Lu Zhang

Lu Zhang

Peking University

Publications: 21

Yingfei Xiong

Yingfei Xiong

Peking University

Publications: 20

Houari Sahraoui

Houari Sahraoui

University of Montreal

Publications: 20

Denys Poshyvanyk

Denys Poshyvanyk

William & Mary

Publications: 20

Tien N. Nguyen

Tien N. Nguyen

The University of Texas at Dallas

Publications: 19

Michael Pradel

Michael Pradel

University of Stuttgart

Publications: 19

Yoshua Bengio

Yoshua Bengio

University of Montreal

Publications: 19

Chanchal K. Roy

Chanchal K. Roy

University of Saskatchewan

Publications: 19

Mira Mezini

Mira Mezini

Technical University of Darmstadt

Publications: 17

Trending Scientists

Dimitri Van De Ville

Dimitri Van De Ville

École Polytechnique Fédérale de Lausanne

Calvin R. Maurer

Calvin R. Maurer

Stanford University

R.W. De Doncker

R.W. De Doncker

RWTH Aachen University

Xiqun Jiang

Xiqun Jiang

Nanjing University

Teofil Jesionowski

Teofil Jesionowski

Poznań University of Technology

Fujun Zhang

Fujun Zhang

Beijing Jiaotong University

Zhihua Chen

Zhihua Chen

Northwestern University

Samuel A. Latt

Samuel A. Latt

Boston Children's Hospital

Michael Lichten

Michael Lichten

National Institutes of Health

Michel Magny

Michel Magny

Centre national de la recherche scientifique, CNRS

Keith P. Shine

Keith P. Shine

University of Reading

Paul Witkovsky

Paul Witkovsky

New York University

T. Alp Ikizler

T. Alp Ikizler

Vanderbilt University Medical Center

Margriet S. Westerterp-Plantenga

Margriet S. Westerterp-Plantenga

Maastricht University

Richard H. Mattson

Richard H. Mattson

Yale University

David Bell

David Bell

University of Leeds

Something went wrong. Please try again later.