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ECOOP 2027: European Conference on Object-Oriented Programming

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회원가입 로그인
투고 마감일:
2027-02-11 115일 남음
통보일:
2027-04-08
개최일:
2027-06-28
개최지:
Turin, Italy
개최 횟수:
캘린더에 추가: Google 캘린더 · Outlook / Apple (.ics)
CCF: B   ICORE: A   QUALIS: A1   조회: 74447   팔로우: 27   참가: 0
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마감 카운트다운 배지 삽입
ECOOP
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회반 지수 (CP-I)

92.8 / 100
전체 5,721개 중 40위 · 상위 1%

소프트웨어 공학 분야 247개 중 5위

학술적 인정 (35%)
100
투고 선별성 (20%)
87
개최 횟수 (20%)
100
커뮤니티 관심도 (10%)
55
공개 자료 충실도 (15%)
100

사용한 입력: 수록 등급: CCF B, ICORE A, QUALIS A1 · 게재율: 22.8%(기록이 있는 5개 회차의 평균) · 확인되는 개최 횟수: 41 · 회반에서 팔로우 중인 연구자: 27명 · 지난 24개월 동안 이 페이지를 연 연구자: 19명

신뢰도 100% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-10-19

논문 모집

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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게재율

평균 게재율: 18.8% 18년간 (1995–2014).

연도투고 수게재 수게재율(%)
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%

베스트 페이퍼

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관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Object TechnologyEtH Zurich1660-1769
Programming and Computer Software0.5Springer0361-7688
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

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