D-Index & Metrics Best Publications
Computer Science
Luxembourg
2023

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 59 Citations 14,309 316 World Ranking 2247 National Ranking 2

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Luxembourg Leader Award

2022 - Research.com Computer Science in Luxembourg Leader Award

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)

2056 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)

617 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)

542 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)

525 Citations

Refactoring UML Models

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

413 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)

331 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

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)

296 Citations

Mutation Testing Advances: An Analysis and Survey

Mike Papadakis;Marinos Kintis;Jie Zhang;Yue Jia.
Advances in Computers (2018) (In press). (2019)

278 Citations

Improving test suites for efficient fault localization

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

275 Citations

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Nanyang Technological University

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Eric Bodden

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Jacques Klein

Jacques Klein

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Manuel Wimmer

Manuel Wimmer

Johannes Kepler University of Linz

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Benoit Baudry

Benoit Baudry

KTH Royal Institute of Technology

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Xiapu Luo

Xiapu Luo

Hong Kong Polytechnic University

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Mark Harman

Mark Harman

University College London

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David Lo

David Lo

Singapore Management University

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Lionel C. Briand

Lionel C. Briand

University of Ottawa

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Alexander Egyed

Alexander Egyed

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Ina Schaefer

Technische Universität Braunschweig

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Jean-Marc Jézéquel

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Sven Apel

Saarland University

Publications: 26

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Sam Malek

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