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cs.SE2025

A Mathematics-Guided Approach to Floating-Point Error Detection

Youshuai Tan, Zhanwei Zhang, Zishuo Ding +3

Floating-point program errors can lead to severe consequences, particularly in critical domains such as military applications. Only a small subset of inputs may induce substantial…

cs.SE2025

OFP-Repair: Repairing Floating-point Errors via Original-Precision Arithmetic

Youshuai Tan, Zishuo Ding, Jinfu Chen +1

Errors in floating-point programs can lead to severe consequences, particularly in critical domains such as military, aerospace, and financial systems, making their repair a crucia…

cs.SE2025

Computing Floating-Point Errors by Injecting Perturbations

Youshuai Tan, Zhanwei Zhang, Jinfu Chen +3

Floating-point programs form the foundation of modern science and engineering, providing the essential computational framework for a wide range of applications, such as safety-crit…

cs.SE2025

A Multi-Language Perspective on the Robustness of LLM Code Generation

Fazle Rabbi, Zishuo Ding, Jinqiu Yang

Large language models have gained significant traction and popularity in recent times, extending their usage to code-generation tasks. While this field has garnered considerable at…

cs.SE2025

DELA: A Novel Approach for Detecting Errors Induced by Large Atomic Condition Numbers

Youshuai Tan, Zhanwei Zhang, Jinfu Chen +3

Numerical programs form the foundation of modern science and engineering, providing essential solutions to complex mathematical problems. Therefore, errors in numerical results wou…