Data Mining‐Based Techniques for Software Fault Localization

Autor: Peggy Cellier, Mireille Ducassé, Sébastien Ferré, Olivier Ridoux, W. Eric Wong

Publikováno v: Handbook of Software Fault Localization. :321-364

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a711516b3115a2e595be66f4c0bc01f
https://doi.org/10.1002/9781119880929.ch7

QuickFill, QuickMixte: block approaches for reducing the number of programs in program synthesis

Autor: Vanessa Fokou, Peggy Cellier, Maurice Tchuente, Alexandre Termier

Publikováno v: CARI 2022-Colloque Africain sur la Recherche en Informatique et en Mathématiques Appliquées
CARI 2022-Colloque Africain sur la Recherche en Informatique et en Mathématiques Appliquées, Oct 2022, Yaoundé, Cameroun. pp.1-10
HAL

International audience; Repetitive tasks are most often tedious; in order to facilitate their execution, program synthesis approaches have been developed. They consist in automatically inferring programs that satisfy the intention of a user. The best

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e8edabdee2b4dd04c08fd4c7a6acff41
https://inria.hal.science/hal-03717860/document

GraphMDL+

Autor: Sébastien Ferré, Peggy Cellier, Francesco Bariatti

Publikováno v: SAC
SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing
SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Mar 2021, Virtual Event, South Korea. pp.355-363, ⟨10.1145/3412841.3441917⟩

International audience; Graph pattern mining algorithms ease graph data analysis by extracting recurring structures. However, classic pattern mining approaches tend to extract too many patterns for human analysis. Recently, the GraphMDL algorithm has

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dad6ee50db577a3342940938c009121f
https://doi.org/10.1145/3412841.3441917

GraphMDL : sélection de motifs de graphes avec le principe MDL

Autor: Francesco Bariatti, Peggy Cellier, Sébastien Ferré

Publikováno v: EGC 2020
EGC 2020, Jan 2020, Bruxelles, Belgique
HAL

International audience; Many graph pattern mining algorithms have been designed to identify recurring structures in graphs. The main drawback of these approaches is that they often extract too many patterns for human analysis. Recently, pattern minin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a2e60766e328d3f70ed9816d03334c0e
https://hal.inria.fr/hal-02511412/document

Mining Periodic Patterns with a MDL Criterion

Autor: Esther Galbrun, Alexandre Termier, Nikolaj Tatti, Bruno Crémilleux, Peggy Cellier

Publikováno v: Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109271
ECML/PKDD (2)
ECML/PKDD 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ECML/PKDD 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2018, Dublin, Ireland. pp.535-551
ECML/PKDD 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2018, Dublin, Ireland. pp.535-551, ⟨10.1007/978-3-030-10928-8_32⟩

The quantity of event logs available is increasing rapidly, be they produced by industrial processes, computing systems, or life tracking, for instance. It is thus important to design effective ways to uncover the information they contain. Because ev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2430764ed54e27c07b48fb22fb291f7
https://doi.org/10.1007/978-3-030-10928-8_32