%0 Journal Article %T MALTESQUE 2019 Workshop Summary %+ Università degli Studi di Milano-Bicocca = University of Milano-Bicocca (UNIMIB) %+ Université de Namur [Namur] (UNamur) %+ University of Groningen [Groningen] %+ Diversity-centric Software Engineering (DiverSe) %+ Poznan University of Technology (PUT) %+ Université du Luxembourg (Uni.lu) %+ Universität Zürich [Zürich] = University of Zurich (UZH) %+ Delft University of Technology (TU Delft) %A Fontana, Francesca, Arcelli %A Perrouin, Gilles %A Ampatzoglou, Apostolos %A Acher, Mathieu %A Walter, Bartosz %A Cordy, Maxime %A Palomba, Fabio %A Devroey, Xavier %< avec comité de lecture %@ 0163-5948 %J Software Engineering Notes %I Association for Computing Machinery %8 2020-01-24 %D 2020 %R 10.1145/3375572.3375582 %Z Computer Science [cs]/Software Engineering [cs.SE] %Z Computer Science [cs]/Computation and Language [cs.CL] %Z Computer Science [cs]/Artificial Intelligence [cs.AI]Journal articles %X Welcome to the third edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2019), held in Tallinn, Estonia, August 27th, 2019, co-located with ESEC / FSE 2019. This year MALTESQUE merged with the MASES (Machine Learning and Software Engineering in Symbiosis) workshop, co-located with the ASE 2018 conference. Ten papers from all over the world were submitted, seven of them were accepted. The program also featured a keynote by Lionel Briand on the use of machine learning to improve software testing. %G English %2 https://inria.hal.science/hal-02471302/document %2 https://inria.hal.science/hal-02471302/file/MALTESQUE19_WorkshopSummary.pdf %L hal-02471302 %U https://inria.hal.science/hal-02471302 %~ UNIV-RENNES1 %~ CNRS %~ INRIA %~ UNIV-UBS %~ INSA-RENNES %~ INRIA-RENNES %~ IRISA %~ IRISA_SET %~ INRIA_TEST %~ TESTALAIN1 %~ CENTRALESUPELEC %~ INRIA2 %~ UR1-HAL %~ UR1-MATH-STIC %~ UR1-UFR-ISTIC %~ TEST-UR-CSS %~ UNIV-RENNES %~ INRIA-RENGRE %~ TEST-HALCNRS %~ UR1-MATH-NUM %~ INRIAARTDOI