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Predicting unstable software benchmarks using static source code features

Research article (Empirical Software Engineering, 2021) · cited 27× · AI/ML
academia openalex:W3195958055
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Predicting unstable software benchmarks using static source code features

Summary

Predicting unstable software benchmarks using static source code features is a scholarly article[1].

Key Facts

  • Predicting unstable software benchmarks using static source code features's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Predicting unstable software benchmarks using static source code features. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-unstable-software-benchmarks-using-static-source-code-features
MLA “Predicting unstable software benchmarks using static source code features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-unstable-software-benchmarks-using-static-source-code-features.
BibTeX @misc{4ortxyz_predicting-unstable-software-benchmarks-using-static-source-code-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting unstable software benchmarks using static source code features}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-unstable-software-benchmarks-using-static-source-code-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting unstable software benchmarks using static source code features — https://4ort.xyz/entity/predicting-unstable-software-benchmarks-using-static-source-code-features (retrieved 2026-05-24)

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