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CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency

Zhong, Renyi, Huo, Yintong, Gu, Wenwei, Kuang, Jinxi, Jiang, Zhihan, Yu, Guangba, Li, Yichen, Lo, David, Lyu, Michael R.·2026·IEEE Transactions on Software Engineering

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Metadata

Authors
Zhong, R., Huo, Y., Gu, W., Kuang, J., Jiang, Z., Yu, G., Li, Y., Lo, D., & Lyu, M. R.
Venue
IEEE Transactions on Software Engineering
Published
2026-09
Volume
52
Issue
9
Pages
2546-2565
ISSN
  • 0098-5589
  • 1939-3520
  • 2326-3881
Cited by
0
References
2
Funders
Research Grants Council of the Hong Kong Special Administrative Region, China (CUHK 14209124)

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CoChat. (2026). Citation check: CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency. https://app.cochat.ai/papers/10.1109/tse.2026.3689089
The paper
Zhong, R., Huo, Y., Gu, W., Kuang, J., Jiang, Z., Yu, G., Li, Y., Lo, D., & Lyu, M. R. (2026). CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.2026.3689089

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.