---
title: "EASE (A): papers and universities"
description: "EASE (International Conference on Evaluation and Assessment in Software Engineering) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 250 of its papers from 2024–2026 (100 in 2024, 150 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from Italy (58), Canada (22) and Sweden (20)."
url: https://scholar4ai.com/proceedings/ease
markdown_url: https://scholar4ai.com/proceedings/ease.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "EASE (International Conference on Evaluation and Assessment in Software Engineering) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 250 of its papers from 2024–2026 (100 in 2024, 150 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)
---

# EASE: International Conference on Evaluation and Assessment in Software Engineering — papers and institutions, 2024–2026

Papers of EASE, International Conference on Evaluation and Assessment in Software Engineering (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

- EASE (International Conference on Evaluation and Assessment in Software Engineering) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 250 of its papers from 2024–2026 (100 in 2024, 150 in 2025; 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from Italy (58), Canada (22) and Sweden (20).
- The institutions with the most papers are University of Salerno (17), King Fahd University of Petroleum and Minerals (14) and Lappeenranta-Lahti University of Technology (14).
- Its most-cited paper of these years is “Using Large Language Models to Generate JUnit Tests: An Empirical Study” (2024), with 98 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 100 | 98 |
| 2025 | 150 | 147 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407087232](https://openalex.org/S7407087232) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | University of Salerno | 17 |
| 2 | King Fahd University of Petroleum and Minerals | 14 |
| 3 | Lappeenranta-Lahti University of Technology | 14 |
| 4 | University of Bari Aldo Moro | 10 |
| 5 | University of L'Aquila | 8 |
| 6 | University of Calgary | 7 |
| 7 | Blekinge Institute of Technology | 7 |
| 8 | Chalmers University of Technology | 6 |
| 9 | University of Gothenburg | 6 |
| 10 | SINTEF | 5 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | Italy | 58 |
| 2 | Canada | 22 |
| 3 | Sweden | 20 |
| 4 | United Kingdom | 19 |
| 5 | United States | 18 |
| 6 | Finland | 17 |
| 7 | Germany | 16 |
| 8 | India | 16 |
| 9 | Netherlands | 16 |
| 10 | Saudi Arabia | 16 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 57 |
| 2 | open source software | 13 |
| 3 | software security | 13 |
| 4 | software engineering education | 10 |
| 5 | ChatGPT | 9 |
| 6 | prompt engineering | 9 |
| 7 | vulnerability detection | 9 |
| 8 | software testing | 8 |
| 9 | DevOps | 7 |
| 10 | GPT-4 | 7 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 98 | [Using Large Language Models to Generate JUnit Tests: An Empirical Study](https://doi.org/10.1145/3661167.3661216) | 2024-06-14 | Mohammed Latif Siddiq, Joanna C. S. Santos, Ridwanul Hasan Tanvir et al. |
| 2 | 86 | [A Performance Study of LLM-Generated Code on Leetcode](https://doi.org/10.1145/3661167.3661221) | 2024-06-14 | Tristan Coignion, Clément Quinton, Romain Rouvoy |
| 3 | 33 | [Semgrep*: Improving the Limited Performance of Static Application Security Testing (SAST) Tools](https://doi.org/10.1145/3661167.3661262) | 2024-06-14 | Gareth Bennett, Tracy Hall, Emily Winter et al. |
| 4 | 31 | [An LLM-based Approach to Recover Traceability Links between Security Requirements and Goal Models](https://doi.org/10.1145/3661167.3661261) | 2024-06-14 | Jameleddine Hassine |
| 5 | 30 | [The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews](https://doi.org/10.1145/3661167.3661172) | 2024-06-14 | Aleksi Huotala, Miikka Kuutila, Paul Ralph et al. |
| 6 | 23 | [An Extensive Comparison of Static Application Security Testing Tools](https://doi.org/10.1145/3661167.3661199) | 2024-06-14 | Matteo Esposito, Valentina Falaschi, Davide Falessi |
| 7 | 23 | [On the Use of ChatGPT for Code Review: Do Developers Like Reviews By ChatGPT?](https://doi.org/10.1145/3661167.3661183) | 2024-06-14 | M Watanabe, Yutaro Kashiwa, Bin Lin et al. |
| 8 | 22 | [Code Summarization without Direct Access to Code - Towards Exploring Federated LLMs for Software Engineering](https://doi.org/10.1145/3661167.3661210) | 2024-06-14 | Jahnavi Kumar, Sridhar Chimalakonda |
| 9 | 21 | [An Empirical Study on the Energy Usage and Performance of Pandas and Polars Data Analysis Python Libraries](https://doi.org/10.1145/3661167.3661203) | 2024-06-14 | Felix Nahrstedt, Mehdi Karmouche, Karolina Bargieł et al. |
| 10 | 20 | [AI-Generated Test Scripts for Web E2E Testing with ChatGPT and Copilot: A Preliminary Study](https://doi.org/10.1145/3661167.3661192) | 2024-06-14 | Maurizio Leotta, Hafiz Zeeshan Yousaf, Filippo Ricca et al. |

## Cite this page

Scholar4AI. (2026). EASE: International Conference on Evaluation and Assessment in Software Engineering — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ease

```bibtex
@misc{scholar4ai-proceedings-ease,
  author = {{Scholar4AI}},
  title = {EASE: International Conference on Evaluation and Assessment in Software Engineering — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/ease}},
  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/).