会议论文

Liang, P

英文

International Workshop on Program Comprehension. Proceedings

1530-1583

2023

328-338

31st IEEE/ACM International Conference on Program Comprehension (ICPC)

International Conference on Program Comprehension

MAY 15-16, 2023

Melbourne, AUSTRALIA

[Li, Zengyang;Wang, Sicheng;Wang, Wenshuo;Mo, Ran] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.^[Li, Zengyang;Wang, Sicheng;Wang, Wenshuo;Mo, Ran] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan, Peoples R China.^[Liang, Peng;Li, Bing] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China.

10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA

IEEE COMPUTER SOC

979-8-3503-3750-1

10.1109/ICPC58990.2023.00047

Natural Science Foundation of Hubei Province of China [2021CFB577]; National Natural Science Foundation of China [62002129, 62172311]; Knowledge Innovation Program of Wuhan-Shuguang Project [2022010801020280]

本校为第一机构

Deep learning frameworks (DLFs) have been playing an increasingly important role in this intelligence age since they act as a basic infrastructure for an increasingly wide range of AI-based applications. Meanwhile, as multi-programming-language (MPL) software systems, DLFs are inevitably suffering from bugs caused by the use of multiple programming languages (PLs). Hence, it is of paramount significance to understand the bugs (especially the bugs involving multiple PLs, i.e., MPL bugs) of DLFs, which can provide a foundation for preventing, detecting, and resolving bugs in the development of D...