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Analyzing closeness of code dependencies for improving IR-based Traceability Recovery.

H. Kuang, J. Nie, H. Hu, P. Rempel, J. Lu, A. Egyed, and P. Mäder. SANER, page 68-78. IEEE Computer Society, (2017)

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Hongyu Guan

Hongyu Zhang

Pei Kuang

Hongyu Wang

Hongyu Jia

Other publications of authors with the same name

Macro Action Selection with Deep Reinforcement Learning in StarCraft.S. Xu, H. Kuang, Z. Zhi, R. Hu, Y. Liu, and H. Sun. AIIDE, page 94-99. AAAI Press, (2019)Leveraging User-Defined Identifiers for Counterfactual Data Generation in Source Code Vulnerability Detection.H. Kuang, F. Yang, L. Zhang, G. Tang, and L. Yang. SCAM, page 143-150. IEEE, (2023)TRIAD: Automated Traceability Recovery based on Biterm-enhanced Deduction of Transitive Links among Artifacts.H. Gao, H. Kuang, W. Assunção, C. Mayr-Dorn, G. Rong, H. Zhang, X. Ma, and A. Egyed. ICSE, page 216:1-216:13. ACM, (2024)Distilling Quality Enhancing Comments From Code Reviews to Underpin Reviewer Recommendation.G. Rong, Y. Yu, Y. Zhang, H. Zhang, H. Shen, D. Shao, H. Kuang, M. Wang, Z. Wei, Y. Xu and 1 other author(s). IEEE Trans. Software Eng., 50 (7): 1658-1674 (July 2024)Response Time Aware Operator Placement for Complex Event Processing in Edge Computing.X. Cai, H. Kuang, H. Hu, W. Song, and J. Lü. ICSOC, volume 11236 of Lecture Notes in Computer Science, page 264-278. Springer, (2018)Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery.H. Gao, H. Kuang, K. Sun, X. Ma, A. Egyed, P. Mäder, G. Rong, D. Shao, and H. Zhang. ASE, page 114:1. ACM, (2022)Incorporating Pre-trained Transformer Models into TextCNN for Sentiment Analysis on Software Engineering Texts.K. Sun, X. Shi, H. Gao, H. Kuang, X. Ma, G. Rong, D. Shao, Z. Zhao, and H. Zhang. Internetware, page 127-136. ACM, (2022)VulCausal: Robust Vulnerability Detection Using Neural Network Models from a Causal Perspective.H. Kuang, J. Zhang, F. Yang, L. Zhang, Z. Huang, and L. Yang. KSEM (3), volume 14886 of Lecture Notes in Computer Science, page 41-56. Springer, (2024)TRIAD: Automated Traceability Recovery based on Biterm-enhanced Deduction of Transitive Links among Artifacts.H. Gao, H. Kuang, W. Assunção, C. Mayr-Dorn, G. Rong, H. Zhang, X. Ma, and A. Egyed. CoRR, (2023)Automated Data-Processing Function Identification Using Deep Neural Network.H. Kuang, J. Wang, R. Li, C. Feng, and X. Zhang. IEEE Access, (2020)

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Disambiguation of "Kuang, Hongyu"

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Analyzing closeness of code dependencies for improving IR-based Traceability Recovery.

Please choose a person to relate this publication to

Hongyu Guan

Hongyu Zhang

Pei Kuang

Hongyu Wang

Hongyu Jia

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kuang, Hongyu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Analyzing closeness of code dependencies for improving IR-based Traceability Recovery.

Please choose a person to relate this publication to

Hongyu Guan

Hongyu Zhang

Pei Kuang

Hongyu Wang

Hongyu Jia

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Analyzing closeness of code dependencies for improving IR-based Traceability Recovery.