Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

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. Also as Markdown.

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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)
YearPapersWith affiliations
202410098
2025150147
2026––

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S7407087232The conference's proceedings

Who publishes there#

Institutions with the most EASE papers, 2024–2026
#InstitutionPapers
1University of Salerno17
2King Fahd University of Petroleum and Minerals14
3Lappeenranta-Lahti University of Technology14
4University of Bari Aldo Moro10
5University of L'Aquila8
6University of Calgary7
7Blekinge Institute of Technology7
8Chalmers University of Technology6
9University of Gothenburg6
10SINTEF5
Countries with the most EASE papers, 2024–2026
#CountryPapers
1Italy58
2Canada22
3Sweden20
4United Kingdom19
5United States18
6Finland17
7Germany16
8India16
9Netherlands16
10Saudi Arabia16
Keywords with the most EASE papers, 2024–2026
#KeywordPapers
1large language models57
2open source software13
3software security13
4software engineering education10
5ChatGPT9
6prompt engineering9
7vulnerability detection9
8software testing8
9DevOps7
10GPT-47

Most-cited papers#

Most-cited EASE papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
198Using Large Language Models to Generate JUnit Tests: An Empirical Study2024-06-14Mohammed Latif Siddiq, Joanna C. S. Santos, Ridwanul Hasan Tanvir et al.
286A Performance Study of LLM-Generated Code on Leetcode2024-06-14Tristan Coignion, Clément Quinton, Romain Rouvoy
333Semgrep*: Improving the Limited Performance of Static Application Security Testing (SAST) Tools2024-06-14Gareth Bennett, Tracy Hall, Emily Winter et al.
431An LLM-based Approach to Recover Traceability Links between Security Requirements and Goal Models2024-06-14Jameleddine Hassine
530The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews2024-06-14Aleksi Huotala, Miikka Kuutila, Paul Ralph et al.
623An Extensive Comparison of Static Application Security Testing Tools2024-06-14Matteo Esposito, Valentina Falaschi, Davide Falessi
723On the Use of ChatGPT for Code Review: Do Developers Like Reviews By ChatGPT?2024-06-14M Watanabe, Yutaro Kashiwa, Bin Lin et al.
822Code Summarization without Direct Access to Code - Towards Exploring Federated LLMs for Software Engineering2024-06-14Jahnavi Kumar, Sridhar Chimalakonda
921An Empirical Study on the Energy Usage and Performance of Pandas and Polars Data Analysis Python Libraries2024-06-14Felix Nahrstedt, Mehdi Karmouche, Karolina Bargieł et al.
1020AI-Generated Test Scripts for Web E2E Testing with ChatGPT and Copilot: A Preliminary Study2024-06-14Maurizio Leotta, Hafiz Zeeshan Yousaf, Filippo Ricca et al.

Conferences in the same field#

ICSE · ASE · ASPLOS · FSE · ISCA · PLDI · POPL · CAV · SIGMETRICS · DATE · OOPSLA · ISSTA · MODELS · MSR · SANER · ICST · RE · ICSME · TACAS · ICPC · CGO · ESEM · ISSRE · BPM · ICFP · ICSA · IJCAR · SEAMS · ECOOP

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

@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}
}

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