Evaluating representation learning of code changes for predicting patch correctness in program repair

Research article (Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020) · cited 81× · AI/ML
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Evaluating representation learning of code changes for predicting patch correctness in program repair

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Evaluating representation learning of code changes for predicting patch correctness in program repair is a scholarly article[1].

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  • Evaluating representation learning of code changes for predicting patch correctness in program repair's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating representation learning of code changes for predicting patch correctness in program repair. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-representation-learning-of-code-changes-for-predicting-patch-correctness-in-program-repair
MLA “Evaluating representation learning of code changes for predicting patch correctness in program repair.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-representation-learning-of-code-changes-for-predicting-patch-correctness-in-program-repair.
BibTeX @misc{4ortxyz_evaluating-representation-learning-of-code-changes-for-predicting-patch-correctness-in-program-repair_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating representation learning of code changes for predicting patch correctness in program repair}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-representation-learning-of-code-changes-for-predicting-patch-correctness-in-program-repair}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating representation learning of code changes for predicting patch correctness in program repair — https://4ort.xyz/entity/evaluating-representation-learning-of-code-changes-for-predicting-patch-correctness-in-program-repair (retrieved 2026-05-24)

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