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Making symbolic execution promising by learning aggressive state-pruning strategy

Research article (Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020) · cited 12× · AI/ML
academia openalex:W3099487688
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Making symbolic execution promising by learning aggressive state-pruning strategy

Summary

Making symbolic execution promising by learning aggressive state-pruning strategy is a scholarly article[1].

Key Facts

  • Making symbolic execution promising by learning aggressive state-pruning strategy's instance of is recorded as scholarly article[2].

References

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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). Making symbolic execution promising by learning aggressive state-pruning strategy. Retrieved May 24, 2026, from https://4ort.xyz/entity/making-symbolic-execution-promising-by-learning-aggressive-state-pruning-strategy
MLA “Making symbolic execution promising by learning aggressive state-pruning strategy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/making-symbolic-execution-promising-by-learning-aggressive-state-pruning-strategy.
BibTeX @misc{4ortxyz_making-symbolic-execution-promising-by-learning-aggressive-state-pruning-strategy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Making symbolic execution promising by learning aggressive state-pruning strategy}}, year = {2026}, url = {https://4ort.xyz/entity/making-symbolic-execution-promising-by-learning-aggressive-state-pruning-strategy}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Making symbolic execution promising by learning aggressive state-pruning strategy — https://4ort.xyz/entity/making-symbolic-execution-promising-by-learning-aggressive-state-pruning-strategy (retrieved 2026-05-24)

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