Interprocedural compatibility analysis for static object preallocation

By Ovidiu Gheorghioiu, Alexandru Salcianu, Martin C. Rinard. 2003

19 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Han-Jia Ye
2. De-chuan Zhan
3. Da-Wei Zhou
4. Qiwen Wang
5. Ziwei Liu
6. Fu-Yun Wang
7. Zhi-Hong Qi
8. Shiliang Pu

In Computational Theory and Mathematics

1. De-chuan Zhan
2. Ziwei Liu
3. Han-Jia Ye

In Hardware and Architecture

1. De-chuan Zhan
2. Da-Wei Zhou
3. Ziwei Liu

Citations in the corpus

• Forward Compatible Few-Shot Class-Incremental Learning (2022, background): “Backward Compatible Learning: The concept ‘compatibility’ is a design characteristic considered in software engineering [17, 29, 43, 49].”
• Deep Class-Incremental Learning: A Survey (2023, background): “CIL with Bidirectional Compatibility: Compatibility is a design characteristic in software engineering community [240], [241], [242], [243], which was introduced to the machine learning community in [244], [245].”
• Class-Incremental Learning: A Survey (2023, unknown): “CIL with Bidirectional Compatibility : Compatibility is a design characteristic in software engineering community [229], [230], [231], [232], which was introduced to the machine learning community in [233], [234].”