Home › Entities › academia › Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations

Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations

Research article (IEEE Transactions on Software Engineering, 2023) · cited 37× · AI/ML
academia openalex:W4319451764
Press Enter · cited answer in seconds

Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations

Summary

Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations is a scholarly article[1].

Key Facts

  • Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations's instance of is recorded as scholarly article[2].

Related Entities

Hongyu Zhang

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations. Retrieved May 24, 2026, from https://4ort.xyz/entity/challenging-machine-learning-based-clone-detectors-via-semantic-preserving-code-transformations
MLA “Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/challenging-machine-learning-based-clone-detectors-via-semantic-preserving-code-transformations.
BibTeX @misc{4ortxyz_challenging-machine-learning-based-clone-detectors-via-semantic-preserving-code-transformations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations}}, year = {2026}, url = {https://4ort.xyz/entity/challenging-machine-learning-based-clone-detectors-via-semantic-preserving-code-transformations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations — https://4ort.xyz/entity/challenging-machine-learning-based-clone-detectors-via-semantic-preserving-code-transformations (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/challenging-machine-learning-based-clone-detectors-via-semantic-preserving-code-transformations · Last refreshed: