会议信息

ECOOP 2027: European Conference on Object-Oriented Programming

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截稿日期:
2027-02-11 还有 115 天
通知日期:
2027-04-08
会议日期:
2027-06-28
会议地点:
Turin, Italy
届数:
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CCF: B   ICORE: A   QUALIS: A1   浏览: 74449   关注: 27   参加: 0
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会伴指数 (CP-I)

92.8 / 100
全站第 40 名 / 共 5,721 个会议 · 前 1%

软件工程 第 5 / 247

学术认可 (35%)
100
投稿选择性 (20%)
87
会议传承 (20%)
100
社区关注 (10%)
55
资料公开度 (15%)
100

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A1 · 录用率：22.8%（有记录的 5 届的均值） · 有据可查的届次：41 · 在会伴关注它的研究者：27 人 · 过去 24 个月打开过本页的研究者：19 人

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-19

征稿

ECOOP 2027 (European Conference on Object-Oriented Programming) is a CCF B / ICORE A / QUALIS A1 conference held in Turin, Italy on 2027-06-28. The paper submission deadline is 2027-02-11. Acceptance notifications are sent on 2027-04-08.

ECOOP is Europe’s longest-standing annual Programming Languages conference, bringing together researchers, practitioners, and students to share their ideas and experiences in all topics related to programming languages, software development, systems and applications. ECOOP welcomes high quality research papers relating to these fields in a broad sense. ECOOP is committed to affordable open access publishing. Recent year’s publications have been published by Dagstuhl’s LIPIcs series under a Creative Commons CC-BY license where the authors retaintheir copyright. ECOOP articles have been published without open access publishing fee and can be accessed via a DOI. LIPIcs is indexed in DBLP, Google Scholar, Scopus and others. In 2027, ECOOP will be held in Turin (Italy) and be organized by the Department of Computer Science of the University of Turin and Synesthesia SB Srl. ECOOP is a conference about programming originally focused on object orientation, but now including all practical and theoretical investigations of programming languages, systems and environments. ECOOP solicits innovative solutions to real problems as well as evaluations of existing solutions. Changes Compared to ECOOP 2026 Authors must follow the ACM policy on AI usage. Authors should submit anonymous supplementary material with their paper, reviewers may take the presence or absence of suitable supplementary material into account when assessing a paper submission. Authors must agree to the Reserve Reviewer policy. Revised journal-first and journal-last schemes offer more value to authors. Paper Categories Authors are asked to pick one of the following categories: Research. The most traditional category for papers that advance the state of the art. Replication. An empirical evaluation that reconstructs a published experiment in a different context in order to validate the results of that earlier work. Experience. Applications of known PL techniques in practice as well as tools. Industry papers will be reviewed by practitioners. We welcome negative results that may provide inspiration for future research. Pearls/Brave New Ideas. Articles that either explain a known idea in an elegant way or unconventional papers introducing ideas that may take some time to substantiate. These papers may be short.
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录用率

平均录用率: 18.8% 18 年间 (1995–2014).

年份提交数录用数录用率(%)
20141012726.7%
20131162925%
20121403021.4%
20091172521.4%
20081382719.6%
20071602515.6%
20061602113.1%
20051722414%
20041322518.9%
2003881820.5%
2002962425%
20011081816.7%
20001092018.3%
19991832010.9%
19981242419.4%
19971032019.4%
19961732112.1%
1995901820%

最佳论文

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BInformation Sciences6.0Elsevier0020-0255
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