On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study-Reference-Cited by-同舟云学术

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On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study

Published:2024-04-15 Issue: Volume:1 Page:457-468
ISSN:
Container-title:Proceedings of the 21st International Conference on Mining Software Repositories
language:
Short-container-title:

Author:

Mir Amir M.¹^ORCID,Keshani Mehdi¹^ORCID,Proksch Sebastian¹^ORCID

Affiliation:

1. Delft University of Technology, Delft, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643991.3644897

Reference61 articles.

1. [n. d.]. Java 1-17 Parser and Abstract Syntax Tree for Java with advanced analysis functionalities. https://javaparser.org/ Accessed: 2023-07-31.

2. [n. d.]. The official open-source implementation of AutoPruner. https://github.com/soarsmu/AutoPruner/ Accessed: 2023-08-01.

3. [n. d.]. PyTorch 2.0. https://pytorch.org/blog/pytorch-2.0-release/. 2023-06-13.

4. [n. d.]. PyTorch Lightning. https://lightning.ai/docs/pytorch/latest/

5. [n. d.]. T.J. Watson Libraries for Analysis with frontends for Java Android and JavaScript and may common static program analyses. https://github.com/wala/WALA/releases Accessed: 2023-11-17.

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