D-Index & Metrics Best Publications

D-Index & Metrics

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 56 Citations 12,898 247 World Ranking 2029 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Software

Yves Le Traon mainly investigates Android, Software, Malware, Computer security and Reliability engineering. His Android research is multidisciplinary, incorporating elements of World Wide Web, False positive paradox, Static analysis and Taint checking. His Taint checking research integrates issues from Exploit and Callback.

His work on Software product line is typically connected to Combinatorial explosion and Product as part of general Software study, connecting several disciplines of science. His Reliability engineering study incorporates themes from Data mining, White-box testing, Test suite, Software performance testing and Machine learning. His work on Java as part of general Operating system study is frequently linked to Permission, therefore connecting diverse disciplines of science.

His most cited work include:

  • FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps (1039 citations)
  • IccTA: detecting inter-component privacy leaks in Android apps (358 citations)
  • Effective inter-component communication mapping in Android with Epicc: an essential step towards holistic security analysis (306 citations)

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

Artificial intelligence, Software, Computer security, Data mining and Software engineering are his primary areas of study. The Mutation research Yves Le Traon does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Mutation testing, therefore creating a link between diverse domains of science. His Computer security study frequently draws connections between related disciplines such as Android.

His Android study integrates concerns from other disciplines, such as Taint checking, Static analysis and World Wide Web. His research in Data mining intersects with topics in Reliability engineering and Set. His study focuses on the intersection of Software engineering and fields such as Test case with connections in the field of Selection.

He most often published in these fields:

  • Artificial intelligence (19.20%)
  • Software (17.65%)
  • Computer security (14.86%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (19.20%)
  • Machine learning (12.69%)
  • Code (7.12%)

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

Yves Le Traon mostly deals with Artificial intelligence, Machine learning, Code, Software and Software engineering. His studies deal with areas such as Java and Key as well as Artificial intelligence. His Code research includes elements of Feature, State and Selection.

Specifically, his work in Software is concerned with the study of Software development. His Software development research integrates issues from Software bug, Static analysis and Source code. His Software engineering study combines topics in areas such as Automation, Test suite, Test case, Pipeline and Regression testing.

Between 2018 and 2021, his most popular works were:

  • You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems (43 citations)
  • Learning to spot and refactor inconsistent method names (40 citations)
  • Mining Fix Patterns for FindBugs Violations (34 citations)

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

  • Artificial intelligence
  • Operating system
  • Programming language

His primary areas of study are Artificial intelligence, Machine learning, Selection, Software and Code. The various areas that he examines in his Artificial intelligence study include Java and Software maintenance. His work in Machine learning covers topics such as Benchmark which are related to areas like Reliability engineering, Tweaking, False positive rate and Static analysis.

His Selection research includes themes of Scalability, Set, Blockchain, Algorithm and Data science. His Algorithm study also includes

  • Heuristics that intertwine with fields like Regression testing,
  • Test case most often made with reference to Mutation. His Software research incorporates elements of Maintenance engineering and Source code.

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

FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps

Steven Arzt;Siegfried Rasthofer;Christian Fritz;Eric Bodden.
programming language design and implementation (2014)

1621 Citations

IccTA: detecting inter-component privacy leaks in Android apps

Li Li;Alexandre Bartel;Tegawende F. Bissyande;Jacques Klein.
international conference on software engineering (2015)

488 Citations

Effective inter-component communication mapping in Android with Epicc: an essential step towards holistic security analysis

Damien Octeau;Patrick McDaniel;Somesh Jha;Alexandre Bartel.
usenix security symposium (2013)

453 Citations

Refactoring UML Models

Gerson Sunyé;Damien Pollet;Yves Le Traon;Jean-Marc Jézéquel.
Lecture Notes in Computer Science (2001)

402 Citations

AndroZoo: collecting millions of Android apps for the research community

Kevin Allix;Tegawende F. Bissyande;Jacques Klein;Yves Le Traon.
mining software repositories (2016)

399 Citations

Automated and Scalable T-wise Test Case Generation Strategies for Software Product Lines

Gilles Perrouin;Sagar Sen;Jacques Klein;Benoit Baudry.
international conference on software testing, verification, and validation (2010)

284 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

Improving test suites for efficient fault localization

Benoit Baudry;Franck Fleurey;Yves Le Traon.
international conference on software engineering (2006)

258 Citations

A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications

Sylvain Kubler;Jérémy Robert;William Derigent;Alexandre Voisin.
Expert Systems With Applications (2016)

252 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

Best Scientists Citing Yves Le Traon

Tegawendé F. Bissyandé

Tegawendé F. Bissyandé

University of Luxembourg

Publications: 50

Yang Liu

Yang Liu

Nanyang Technological University

Publications: 44

Eric Bodden

Eric Bodden

University of Paderborn

Publications: 39

Jacques Klein

Jacques Klein

University of Luxembourg

Publications: 39

Manuel Wimmer

Manuel Wimmer

Johannes Kepler University of Linz

Publications: 38

Benoit Baudry

Benoit Baudry

Royal Institute of Technology

Publications: 31

Xiapu Luo

Xiapu Luo

Hong Kong Polytechnic University

Publications: 31

Mark Harman

Mark Harman

University College London

Publications: 31

David Lo

David Lo

Singapore Management University

Publications: 30

Lionel C. Briand

Lionel C. Briand

University of Ottawa

Publications: 30

Alexander Egyed

Alexander Egyed

Johannes Kepler University of Linz

Publications: 30

Ina Schaefer

Ina Schaefer

Technische Universität Braunschweig

Publications: 28

Jean-Marc Jézéquel

Jean-Marc Jézéquel

Université de Rennes

Publications: 28

Sven Apel

Sven Apel

Saarland University

Publications: 26

Sam Malek

Sam Malek

University of California, Irvine

Publications: 26

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

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