Yves Le Traon

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Name: Yves Le Traon

Country: Luxembourg

Affiliation: University of Luxembourg

Contributions

ICST 2020Committee Member in Program Committee within the Research Papers-track
ISSTA 2019Author of Ukwikora: Continuous inspection for Keyword-Driven Testing within the Tool Demonstration-track
Author of Semantic Fuzzing with Zest within the Technical Papers-track
Author of Search-based Test and Improvement of Machine-Learning-Based Anomaly Detection Systems within the Technical Papers-track
ICSE 2020Programme Committee in Program Committee within the Software Engineering in Practice-track
ICSE 2019Author of Mining Fix Patterns for FindBugs Violations within the Journal-First Papers-track
Author of Validity Fuzzing and Parametric Generators for Effective Random Testing within the Posters-track
Author of Assessing Transition-based Test Selection Algorithms at Google within the Software Engineering in Practice-track
Author of Learning to Spot and Refactor Inconsistent Method Names within the Technical Track-track
MOMO 2017Author of Weaving Rules into Models@run.time for Embedded Smart Systems within the MOMO 2017-track
ISSTA 2017Committee Member in Program Committee
Author of Impact of Tool Support in Patch Construction within the Technical Papers-track
ISSTA 2018Author of Bench4BL: Reproducibility Study on the Performance of IR-Based Bug Localization within the ISSTA Technical Papers-track
ECOOP and ISSTAAuthor of Bench4BL: Reproducibility Study on the Performance of IR-Based Bug Localization within the Posters-track
* ICSE 2018 *Session Chair of Test Improvement (part of Technical Papers )
Author of FaCoY – A Code-to-Code Search Engine within the Technical Papers -track
Author of Poster F37: Predicting the Fault Revelation Utility of Mutants within the Posters -track
Author of Augmenting and Structuring User Queries to Support Efficient Free-Form Code Search within the Journal first papers-track
Committee Member in Program committee within the Technical Papers -track
POPL 2016Author of Combining Static Analysis with Probabilistic Models to Enable Market-Scale Analysis within the Research Papers-track