H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 38 Citations 6,552 156 World Ranking 5036 National Ranking 38

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.

Top Publications

Fine-grained and accurate source code differencing

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

412 Citations

Learning from examples to improve code completion systems

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

345 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)

288 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)

273 Citations

Automatic Software Repair: A Bibliography

Martin Monperrus.
ACM Computing Surveys (2018)

266 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)

222 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)

217 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)

197 Citations

ASTOR: a program repair library for Java (demo)

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

197 Citations

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

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

178 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.

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Top Scientists Citing Martin Monperrus

Tegawendé F. Bissyandé

Tegawendé F. Bissyandé

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Abhik Roychoudhury

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Lu Zhang

Peking University

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Yingfei Xiong

Yingfei Xiong

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Houari Sahraoui

Houari Sahraoui

University of Montreal

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Denys Poshyvanyk

Denys Poshyvanyk

William & Mary

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Chanchal K. Roy

Chanchal K. Roy

University of Saskatchewan

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Yoshua Bengio

Yoshua Bengio

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Tien N. Nguyen

Tien N. Nguyen

The University of Texas at Dallas

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Mira Mezini

Mira Mezini

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