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Combining textual and structural analysis of software artifacts for traceability link recovery.

, , and . TEFSE@ICSE, page 41-48. IEEE Computer Society, (2009)

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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)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)On using machine learning to automatically classify software applications into domain categories., , , and . Empir. Softw. Eng., 19 (3): 582-618 (2014)Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization., , , , , and . CoRR, (2024)Statement-based Memory for Neural Source Code Summarization., , , and . CoRR, (2023)PAcT: Detecting and Classifying Privacy Behavior of Android Applications., , , , and . WISEC, page 104-118. ACM, (2022)Ensemble Models for Neural Source Code Summarization of Subroutines., , and . ICSME, page 286-297. IEEE, (2021)A comparison of program comprehension strategies by blind and sighted programmers., , and . ICSE, page 788. ACM, (2018)