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Deep learning-based software engineering: progress, challenges, and opportunities

Research article (Science China Information Sciences, 2024) · cited 65× · AI/ML
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Deep learning-based software engineering: progress, challenges, and opportunities

Summary

Deep learning-based software engineering: progress, challenges, and opportunities is a scholarly article[1].

Key Facts

  • Deep learning-based software engineering: progress, challenges, and opportunities's instance of is recorded as scholarly article[2].

Related Entities

Lu Zhang

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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). Deep learning-based software engineering: progress, challenges, and opportunities. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-based-software-engineering-progress-challenges-and-opportunities
MLA “Deep learning-based software engineering: progress, challenges, and opportunities.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-based-software-engineering-progress-challenges-and-opportunities.
BibTeX @misc{4ortxyz_deep-learning-based-software-engineering-progress-challenges-and-opportunities_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning-based software engineering: progress, challenges, and opportunities}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-based-software-engineering-progress-challenges-and-opportunities}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning-based software engineering: progress, challenges, and opportunities — https://4ort.xyz/entity/deep-learning-based-software-engineering-progress-challenges-and-opportunities (retrieved 2026-05-24)

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