---
title: "SANER (A): papers and universities"
description: "SANER (IEEE International Conference on Software Analysis, Evolution and Reengineering) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 335 of its papers from 2024–2026 (112 in 2024, 98 in 2025, 125 in 2026). By the countries of the authors' institutions, the most papers come from China (98), Canada (43) and the United States (41)."
url: https://scholar4ai.com/proceedings/saner
markdown_url: https://scholar4ai.com/proceedings/saner.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "SANER (IEEE International Conference on Software Analysis, Evolution and Reengineering) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 335 of its papers from 2024–2026 (112 in 2024, 98 in 2025… (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# SANER: IEEE International Conference on Software Analysis, Evolution and Reengineering — papers and institutions, 2024–2026

Papers of SANER, IEEE International Conference on Software Analysis, Evolution and Reengineering (CORE rank A; field: Software engineering), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- SANER (IEEE International Conference on Software Analysis, Evolution and Reengineering) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 335 of its papers from 2024–2026 (112 in 2024, 98 in 2025, 125 in 2026).
- By the countries of the authors' institutions, the most papers come from China (98), Canada (43) and the United States (41).
- The institutions with the most papers are Chinese Academy of Sciences (10), Peking University (9) and Polytechnique Montréal (9).
- Its most-cited paper of these years is “Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study” (2024), with 35 citations.

## Papers per year

*SANER papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 112 | 105 |
| 2025 | 98 | 88 |
| 2026 | 125 | 116 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4363608226](https://openalex.org/S4363608226) | The conference's proceedings |

## Who publishes there

*Institutions with the most SANER papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 10 |
| 2 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 9 |
| 3 | Polytechnique Montréal | 9 |
| 4 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 8 |
| 5 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 7 |
| 6 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 7 |
| 7 | Singapore Management University | 7 |
| 8 | Dalhousie University | 6 |
| 9 | Institut national de recherche en sciences et technologies du numérique | 6 |
| 10 | University of Waterloo | 6 |

*Countries with the most SANER papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 98 |
| 2 | Canada | 43 |
| 3 | United States | 41 |
| 4 | Germany | 29 |
| 5 | Japan | 21 |
| 6 | Italy | 19 |
| 7 | United Kingdom | 12 |
| 8 | Sweden | 12 |
| 9 | Singapore | 12 |
| 10 | India | 11 |

*Keywords with the most SANER papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 74 |
| 2 | code generation | 19 |
| 3 | open source software | 19 |
| 4 | refactoring | 12 |
| 5 | software testing | 11 |
| 6 | vulnerability detection | 11 |
| 7 | automated program repair | 10 |
| 8 | software maintenance | 9 |
| 9 | microservices | 7 |
| 10 | program analysis | 7 |

## Most-cited papers

*Most-cited SANER papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 35 | [Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study](https://doi.org/10.1109/saner60148.2024.00051) | 2024-03-12 | Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed et al. |
| 2 | 25 | [Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study](https://doi.org/10.1109/saner60148.2024.00055) | 2024-03-12 | Shuo Liu, Jacky Keung, Zhen Yang et al. |
| 3 | 25 | [Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization](https://doi.org/10.1109/saner60148.2024.00064) | 2024-03-12 | Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen et al. |
| 4 | 24 | [Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends](https://doi.org/10.1109/saner60148.2024.00059) | 2024-03-12 | Mina Taraghi, Gianolli Dorcelus, Armstrong Tita Foundjem et al. |
| 5 | 24 | [T-FREX: A Transformer-based Feature Extraction Method from Mobile App Reviews](https://doi.org/10.1109/saner60148.2024.00030) | 2024-03-12 | Quim Motger, Alessio Miaschi, Felice Dell’Orletta⋄ et al. |
| 6 | 23 | [How Effective are Large Language Models in Generating Software Specifications?](https://doi.org/10.1109/saner64311.2025.00014) | 2025-03-04 | Danning Xie, Byoungwoo Yoo, Nan Jiang et al. |
| 7 | 17 | [Using Large Language Models for Commit Message Generation: A Preliminary Study](https://doi.org/10.1109/saner60148.2024.00020) | 2024-03-12 | Linghao Zhang, Jingshu Zhao, Chong Wang et al. |
| 8 | 15 | [APIGen: Generative API Method Recommendation](https://doi.org/10.1109/saner60148.2024.00025) | 2024-03-12 | Yujia Chen, Cuiyun Gao, Muyijie Zhu et al. |
| 9 | 15 | [Predicting Line-Level Defects by Capturing Code Contexts with Hierarchical Transformers](https://doi.org/10.1109/saner60148.2024.00038) | 2024-03-12 | Parvez Mahbub, Mohammad Masudur Rahman |
| 10 | 14 | [SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization](https://doi.org/10.1109/saner60148.2024.00068) | 2024-03-12 | Yanlin Wang, Yanxian Huang, Daya Guo et al. |

## Cite this page

Scholar4AI. (2026). SANER: IEEE International Conference on Software Analysis, Evolution and Reengineering — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/saner

```bibtex
@misc{scholar4ai-proceedings-saner,
  author = {{Scholar4AI}},
  title = {SANER: IEEE International Conference on Software Analysis, Evolution and Reengineering — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/saner}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).