这里是我的论文展示页。

Creator

• C001：
  • Name：Enhanced neighborhood metric for spreadsheet fault prediction
  • Visit: https://link.springer.com/article/10.1007/s10515-025-00552-2
  • Description: An additional neighborhood metric indicator has been added on top of traditional metrics to enhance the prediction precision of formula faults in spreadsheets.
  • DOI: https://doi.org/10.1007/s10515-025-00552-2
  • Cite:
    • Sun H, Wang Y, Yu H, et al. Enhanced neighborhood metric for spreadsheet fault prediction[J]. Automated Software Engineering, 2026, 33(1): 1-37.
    • Sun, H., Wang, Y., Yu, H., & Zhu, Z. (2026). Enhanced neighborhood metric for spreadsheet fault prediction. Automated Software Engineering, 33(1), 1-37.
    • @article{sun2026enhanced, title={Enhanced neighborhood metric for spreadsheet fault prediction}, author={Sun, Haitao and Wang, Ying and Yu, Hai and Zhu, Zhiliang}, journal={Automated Software Engineering}, volume={33}, number={1}, pages={1–37}, year={2026}, publisher={Springer} }

Participants

• P001：
  • Name：Selecting Test Cases to Reveal Defects in Recurrent Neural Networks
  • Visit:
  • Description: Introduce the RSNS method to accurately identify and evaluate sensitive neurons in RNNs by applying slight perturbations at various time steps. Prioritize screening test cases that are likely to cause misjudgments. This method, when compared to DeepState, enhances fault detection rates and inclusiveness across multiple datasets and mainstream models while also reducing manual labeling and computational expenses.
  • DOI:
  • Cite: