---
title: "ISSTA (A): papers and universities"
description: "ISSTA (International Symposium on Software Testing and Analysis) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 484 of its papers from 2024–2026 (170 in 2024, 107 in 2025, 207 in 2026). By the countries of the authors' institutions, the most papers come from China (325), the United States (102) and Singapore (75)."
url: https://scholar4ai.com/proceedings/issta
markdown_url: https://scholar4ai.com/proceedings/issta.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ISSTA (International Symposium on Software Testing and Analysis) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 484 of its papers from 2024–2026 (170 in 2024, 107 in 2025, 207 in 2026). (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)
---

# ISSTA: International Symposium on Software Testing and Analysis — papers and institutions, 2024–2026

Papers of ISSTA, International Symposium on Software Testing and Analysis (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

- ISSTA (International Symposium on Software Testing and Analysis) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 484 of its papers from 2024–2026 (170 in 2024, 107 in 2025, 207 in 2026).
- By the countries of the authors' institutions, the most papers come from China (325), the United States (102) and Singapore (75).
- The institutions with the most papers are Zhejiang University (43), Chinese Academy of Sciences (39) and Singapore Management University (36).
- Its most-cited paper of these years is “Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT” (2024), with 206 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 170 | 168 |
| 2025 | 107 | 107 |
| 2026 | 207 | 207 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407085879](https://openalex.org/S7407085879) | The conference's proceedings |
| [S4404663975](https://openalex.org/S4404663975) | Conference-linked journal (issue ISSTA) (2025, 2026) |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 43 |
| 2 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 39 |
| 3 | Singapore Management University | 36 |
| 4 | [Nanjing University](https://scholar4ai.com/institutions/nanjing-university.md) | 35 |
| 5 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 30 |
| 6 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 28 |
| 7 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 25 |
| 8 | Institute of Software | 24 |
| 9 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 22 |
| 10 | [Huazhong University of Science and Technology](https://scholar4ai.com/institutions/huazhong-university-of-science-and-technology.md) | 22 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 325 |
| 2 | United States | 102 |
| 3 | Singapore | 75 |
| 4 | Hong Kong | 56 |
| 5 | Canada | 32 |
| 6 | Australia | 28 |
| 7 | Germany | 25 |
| 8 | United Kingdom | 16 |
| 9 | South Korea | 14 |
| 10 | Switzerland | 7 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 140 |
| 2 | bug detection | 35 |
| 3 | static analysis | 28 |
| 4 | vulnerability detection | 28 |
| 5 | fuzzing | 21 |
| 6 | test case generation | 20 |
| 7 | mutation testing | 17 |
| 8 | code coverage | 16 |
| 9 | code generation | 15 |
| 10 | Defects4J | 13 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 206 | [Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT](https://doi.org/10.1145/3650212.3680323) | 2024-09-11 | Chunqiu Steven Xia, Lingming Zhang |
| 2 | 202 | [AutoCodeRover: Autonomous Program Improvement](https://doi.org/10.1145/3650212.3680384) | 2024-09-11 | Yuntong Zhang, Haifeng Ruan, Zhiyu Fan et al. |
| 3 | 111 | [LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation](https://doi.org/10.1145/3728894) | 2025-06-22 | Ziyao Zhang, Chong Wang, Yanlin Wang et al. |
| 4 | 90 | [A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?](https://doi.org/10.1145/3650212.3652123) | 2024-09-11 | Zhihan Jiang, Jinyang Liu, Junjie Huang et al. |
| 5 | 69 | [ThinkRepair: Self-Directed Automated Program Repair](https://doi.org/10.1145/3650212.3680359) | 2024-09-11 | Xin Yin, Chao Ni, Shaohua Wang et al. |
| 6 | 62 | [Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering](https://doi.org/10.1145/3728963) | 2025-06-22 | Ruiqi Wang, Jiyu Guo, Cuiyun Gao et al. |
| 7 | 52 | [CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision](https://doi.org/10.1145/3650212.3652145) | 2024-09-11 | Hao Wang, Zeyu Gao, Chao Zhang et al. |
| 8 | 47 | [How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation](https://doi.org/10.1145/3650212.3680355) | 2024-09-11 | Cen Zhang, Yaowen Zheng, Mingqiang Bai et al. |
| 9 | 46 | [An Empirical Study of Static Analysis Tools for Secure Code Review](https://doi.org/10.1145/3650212.3680313) | 2024-09-11 | Wachiraphan Charoenwet, Patanamon Thongtanunam, Van-Thuan Pham et al. |
| 10 | 41 | [CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors](https://doi.org/10.1145/3650212.3680328) | 2024-09-11 | Boyang Yang, Haoye Tian, Weiguo Pian et al. |

## Cite this page

Scholar4AI. (2026). ISSTA: International Symposium on Software Testing and Analysis — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/issta

```bibtex
@misc{scholar4ai-proceedings-issta,
  author = {{Scholar4AI}},
  title = {ISSTA: International Symposium on Software Testing and Analysis — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/issta}},
  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/).