---
title: "FSE (A*): papers and universities"
description: "FSE (ACM International Conference on the Foundations of Software Engineering (was ESEC/FSE, changed 2024; duplicate previously listed as ESEC, removed from DB)) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 467 of its papers from 2024–2026 (121 in 2024, 135 in 2025, 211 in 2026). By the countries of the authors' institutions, the most papers come from China (252), the United States (118) and Singapore (56)."
url: https://scholar4ai.com/proceedings/fse
markdown_url: https://scholar4ai.com/proceedings/fse.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "FSE (ACM International Conference on the Foundations of Software Engineering (was ESEC/FSE, changed 2024; duplicate previously listed as ESEC, removed from DB)) is rated A* by the CORE Conference Rankings (ICORE2026)… (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)
---

# FSE: ACM International Conference on the Foundations of Software Engineering (was ESEC/FSE, changed 2024; duplicate previously listed as ESEC, removed from DB) — papers and institutions, 2024–2026

Papers of FSE, ACM International Conference on the Foundations of Software Engineering (was ESEC/FSE, changed 2024; duplicate previously listed as ESEC, removed from DB) (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

- FSE (ACM International Conference on the Foundations of Software Engineering (was ESEC/FSE, changed 2024; duplicate previously listed as ESEC, removed from DB)) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 467 of its papers from 2024–2026 (121 in 2024, 135 in 2025, 211 in 2026).
- By the countries of the authors' institutions, the most papers come from China (252), the United States (118) and Singapore (56).
- The institutions with the most papers are Zhejiang University (33), Sun Yat-sen University (28) and Nanyang Technological University (27).
- Its most-cited paper of these years is “Evaluating and Improving ChatGPT for Unit Test Generation” (2024), with 171 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 121 | 121 |
| 2025 | 135 | 135 |
| 2026 | 211 | 210 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4404663975](https://openalex.org/S4404663975) | Conference-linked journal (issue FSE) |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 33 |
| 2 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 28 |
| 3 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 27 |
| 4 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 27 |
| 5 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 24 |
| 6 | Chinese University of Hong Kong | 20 |
| 7 | Singapore Management University | 20 |
| 8 | [Nanjing University](https://scholar4ai.com/institutions/nanjing-university.md) | 20 |
| 9 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 18 |
| 10 | [Huazhong University of Science and Technology](https://scholar4ai.com/institutions/huazhong-university-of-science-and-technology.md) | 18 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 252 |
| 2 | United States | 118 |
| 3 | Singapore | 56 |
| 4 | Canada | 44 |
| 5 | Hong Kong | 44 |
| 6 | Australia | 32 |
| 7 | Germany | 32 |
| 8 | United Kingdom | 24 |
| 9 | South Korea | 19 |
| 10 | Switzerland | 17 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 154 |
| 2 | bug detection | 34 |
| 3 | static analysis | 21 |
| 4 | code generation | 20 |
| 5 | prompt engineering | 19 |
| 6 | vulnerability detection | 17 |
| 7 | fuzzing | 16 |
| 8 | open source software | 15 |
| 9 | Python | 14 |
| 10 | Java | 12 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 171 | [Evaluating and Improving ChatGPT for Unit Test Generation](https://doi.org/10.1145/3660783) | 2024-07-12 | Zhiqiang Yuan, Mingwei Liu, Shiji Ding et al. |
| 2 | 129 | [LILAC: Log Parsing using LLMs with Adaptive Parsing Cache](https://doi.org/10.1145/3643733) | 2024-07-12 | Zhihan Jiang, Jinyang Liu, Zhuangbin Chen et al. |
| 3 | 128 | [A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization](https://doi.org/10.1145/3660771) | 2024-07-12 | Sungmin Kang, Gabin An, Shin Yoo |
| 4 | 125 | [Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM](https://doi.org/10.1145/3643769) | 2024-07-12 | Gabriel Ryan, Siddhartha Jain, Mingyue Shang et al. |
| 5 | 117 | [Demystifying LLM-Based Software Engineering Agents](https://doi.org/10.1145/3715754) | 2025-06-19 | Chunqiu Steven Xia, Yinlin Deng, Soren Dunn et al. |
| 6 | 104 | [Exploring and Unleashing the Power of Large Language Models in Automated Code Translation](https://doi.org/10.1145/3660778) | 2024-07-12 | Zhen Yang, Fang Liu, Zhongxing Yu et al. |
| 7 | 93 | [CodePlan: Repository-Level Coding using LLMs and Planning](https://doi.org/10.1145/3643757) | 2024-07-12 | Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade et al. |
| 8 | 86 | [Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice](https://doi.org/10.1145/3660788) | 2024-07-12 | Ranim Khojah, Mazen Mohamad, Philipp Leitner et al. |
| 9 | 84 | [A Deep Dive into Large Language Models for Automated Bug Localization and Repair](https://doi.org/10.1145/3660773) | 2024-07-12 | Soneya Binta Hossain, Nan Jiang, Qiang Zhou et al. |
| 10 | 76 | [ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification](https://doi.org/10.1145/3660810) | 2024-07-12 | Fangwen Mu, Lin Shi, Song Wang et al. |

## Cite this page

Scholar4AI. (2026). FSE: ACM International Conference on the Foundations of Software Engineering (was ESEC/FSE, changed 2024; duplicate previously listed as ESEC, removed from DB) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/fse

```bibtex
@misc{scholar4ai-proceedings-fse,
  author = {{Scholar4AI}},
  title = {FSE: ACM International Conference on the Foundations of Software Engineering (was ESEC/FSE, changed 2024; duplicate previously listed as ESEC, removed from DB) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/fse}},
  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/).