Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count
Third-party Python modules are usually implemented as binary extensions by using native code (C/C++) to provide additional features and runtime acceleration. In native code, the heap-allocated PyObjects are managed by the reference counting mechanism provided in Python/C APIs for automatic reclaimin...
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| Published in: | IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 1429 - 1440 |
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| Main Authors: | , , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
11.09.2023
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| Subjects: | |
| ISSN: | 2643-1572 |
| Online Access: | Get full text |
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