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Revisiting Information Retrieval and Deep Learning Approaches for Code Summarization

Citation: Zhu, T., Li, Z., Pan, M., Shi, C., Zhang, T., Pei, Y., & Li, X. (2023, May). Revisiting Information Retrieval and Deep Learning Approaches for Code Summarization. In 2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (pp. 328-329). IEEE.

Structural-semantics Guided Program Simplification for Understanding Neural Code Intelligence Models

Vision-based Widget Mapping for Test Migration across Mobile Platforms: Are We There Yet?

Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases

Deep is Better? An Empirical Comparison of Information Retrieval and Deep Learning Approaches to Code Summarization

Exploring and Improving Code Completion for Test Code

An Empirical Study of Automatic Program Repair Techniques for Injection Vulnerabilities

Precos: Project-specific Retrieval for Better Code Summarization

Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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