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Pragmatic source code reuse via execution record and replay.

, and . J. Softw. Evol. Process., 28 (8): 642-664 (2016)

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Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization., , , , , and . CoRR, (2024)On using machine learning to automatically classify software applications into domain categories., , , and . Empir. Softw. Eng., 19 (3): 582-618 (2014)An Empirical Investigation Into a Large-Scale Java Open Source Code Repository, , , , , , , , and . Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, page 11:1--11:10. (September 2010)Statement-based Memory for Neural Source Code Summarization., , , and . CoRR, (2023)Finding relevant functions in millions of lines of code.. ICSE, page 1170-1172. ACM, (2011)Searching, selecting, and synthesizing source code.. ICSE, page 1124-1125. ACM, (2011)Teaching students to understand large programs by understanding historical context., and . ICSE Companion, page 287-290. ACM, (2014)A Language Model of Java Methods with Train/Test Deduplication., , , , and . ESEC/SIGSOFT FSE, page 2152-2156. ACM, (2023)Action Word Prediction for Neural Source Code Summarization., , , and . SANER, page 330-341. IEEE, (2021)Project-Level Encoding for Neural Source Code Summarization of Subroutines., , and . ICPC, page 253-264. IEEE, (2021)