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On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files.

, , , , и . Empir. Softw. Eng., 23 (6): 3187-3220 (2018)

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Thibaud Ecarot

Thibaud Lambert

Thibaud Jegou

Thibaud Michel

Thibaud Hottelier

 

Другие публикации лиц с тем же именем

Effective detection of vulnerable and malicious browser extensions., , , и . Comput. Secur., (2014)Machine Learning for Software Dependability.. University of Waterloo, Ontario, Canada, (2020)base-search.net (ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/16501).How Effective Are Neural Networks for Fixing Security Vulnerabilities., , , , , , , и . ISSTA, стр. 1282-1294. ACM, (2023)CURE: Code-Aware Neural Machine Translation for Automatic Program Repair., , и . ICSE, стр. 1161-1173. IEEE, (2021)CoCoNuT: combining context-aware neural translation models using ensemble for program repair., , , , , и . ISSTA, стр. 101-114. ACM, (2020)On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files., , , , и . Empir. Softw. Eng., 23 (6): 3187-3220 (2018)ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair., , , , и . CoRR, (2019)Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training., , , , , , , , и . NeurIPS, стр. 30211-30227. (2021)CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries., , , и . ICSE, стр. 1027-1038. IEEE / ACM, (2019)Impact of Code Language Models on Automated Program Repair., , , и . ICSE, стр. 1430-1442. IEEE, (2023)