Tantithamthavorn, Chakkrit
135  Ergebnisse:
Personensuche X
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1

Refining ChatGPT-Generated Code: Characterizing and Mitigat..:

Liu, Yue ; Le-Cong, Thanh ; Widyasari, Ratnadira...
ACM Transactions on Software Engineering and Methodology.  33 (2024)  5 - p. 1-26 , 2024
 
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2

Ethics in the Age of AI: An Analysis of AI Practitioners' A..:

Pant, Aastha ; Hoda, Rashina ; Spiegler, Simone V...
ACM Transactions on Software Engineering and Methodology.  33 (2024)  3 - p. 1-35 , 2024
 
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3

Practitioners' Challenges and Perceptions of CI Build Failu..:

, In: Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering,
 
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4

Deep Domain Adaptation With Max-Margin Principle for Cross-..:

Nguyen, Van ; Le, Trung ; Tantithamthavorn, Chakkrit..
ACM Transactions on Software Engineering and Methodology.  33 (2024)  6 - p. 1-34 , 2024
 
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6

Extrapolating Coverage Rate in Greybox Fuzzing:

, In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering,
 
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7

Syntax-aware on-the-fly code completion:

Takerngsaksiri, Wannita ; Tantithamthavorn, Chakkrit ; Li, Yuan-Fang
Information and Software Technology.  165 (2024)  - p. 107336 , 2024
 
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8

Extrapolating Coverage Rate in Greybox Fuzzing:

, In: 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE),
 
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9

On the Reliability and Explainability of Language Models fo..:

Liu, Yue ; Tantithamthavorn, Chakkrit ; Liu, Yonghui.
ACM Transactions on Software Engineering and Methodology.  33 (2024)  5 - p. 1-26 , 2024
 
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11

Vision Transformer Inspired Automated Vulnerability Repair:

Fu, Michael ; Nguyen, Van ; Tantithamthavorn, Chakkrit..
ACM Transactions on Software Engineering and Methodology.  33 (2024)  3 - p. 1-29 , 2024
 
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13

D-ACT: Towards Diff-Aware Code Transformation for Code Revi..:

, In: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER),
 
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15

Explaining Transformer-based Code Models: What Do They Lear..:

, In: 2023 IEEE 23rd International Working Conference on Source Code Analysis and Manipulation (SCAM),
 
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