An empirical study on the code naturalness modeling capability for LLMs in automated patch correctness assessment.
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| Title: | An empirical study on the code naturalness modeling capability for LLMs in automated patch correctness assessment. |
|---|---|
| Authors: | Li, Yuning1, yuningli@smail.nju.edu.cn, Zhong, Wenkang1, 1007888882@qq.com, Shen, Zongwen1, szw@smail.nju.edu.cn, Li, Chuanyi1, lcy@nju.edu.cn, Chen, Xiang1,2, xchencs@ntu.edu.cn, Ge, Jidong1, gjd@nju.edu.cn, Luo, Bin1, luobin@nju.edu.cn |
| Source: | Automated Software Engineering; Nov2025, Vol. 32 Issue 2, p1-41, 41p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 184209891 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An empirical study on the code naturalness modeling capability for LLMs in automated patch correctness assessment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li%2C+Yuning%22">Li, Yuning</searchLink><relatesTo>1</relatesTo>, <i>yuningli@smail.nju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhong%2C+Wenkang%22">Zhong, Wenkang</searchLink><relatesTo>1</relatesTo>, <i>1007888882@qq.com</i><br /><searchLink fieldCode="AU" term="%22Shen%2C+Zongwen%22">Shen, Zongwen</searchLink><relatesTo>1</relatesTo>, <i>szw@smail.nju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Chuanyi%22">Li, Chuanyi</searchLink><relatesTo>1</relatesTo>, <i>lcy@nju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Xiang%22">Chen, Xiang</searchLink><relatesTo>1,2</relatesTo>, <i>xchencs@ntu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Ge%2C+Jidong%22">Ge, Jidong</searchLink><relatesTo>1</relatesTo>, <i>gjd@nju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Luo%2C+Bin%22">Luo, Bin</searchLink><relatesTo>1</relatesTo>, <i>luobin@nju.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Automated+Software+Engineering%22">Automated Software Engineering</searchLink>; Nov2025, Vol. 32 Issue 2, p1-41, 41p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184209891 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10515-025-00502-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 41 StartPage: 1 Titles: – TitleFull: An empirical study on the code naturalness modeling capability for LLMs in automated patch correctness assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Yuning – PersonEntity: Name: NameFull: Zhong, Wenkang – PersonEntity: Name: NameFull: Shen, Zongwen – PersonEntity: Name: NameFull: Li, Chuanyi – PersonEntity: Name: NameFull: Chen, Xiang – PersonEntity: Name: NameFull: Ge, Jidong – PersonEntity: Name: NameFull: Luo, Bin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09288910 Numbering: – Type: volume Value: 32 – Type: issue Value: 2 Titles: – TitleFull: Automated Software Engineering Type: main |
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