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SPLC 2022: International Systems and Software Product Line Conference

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투고 마감일:
2022-04-08
통보일:
2022-06-02
개최일:
2022-09-12
개최지:
Graz, Austria
개최 횟수:
26
ICORE: B   조회: 17816   팔로우: 3   참가: 1

회반 지수 (CP-I)

61.1 / 100
전체 5,684개 중 567위 · 상위 10%

소프트웨어 공학 분야 247개 중 66위

학술적 인정 (35%)
72
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
개최 횟수 (20%)
89
커뮤니티 관심도 (10%)
22
공개 자료 충실도 (15%)
40

사용한 입력: 수록 등급: ICORE B · 확인되는 개최 횟수: 26 · 회반에서 팔로우 중인 연구자: 3명 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-23

논문 모집

SPLC 2022 (International Systems and Software Product Line Conference) is a ICORE B conference held in Graz, Austria on 2022-09-12. The paper submission deadline is 2022-04-08. Acceptance notifications are sent on 2022-06-02.

Context The International Systems and Software Product Lines Conference (SPLC) is the leading conference on variability and configuration of hardware and software systems. Researchers, practitioners, and educators present and discuss the most recent research breakthroughs, ideas, trends, experiences, challenges and solutions to advance the state-of-the-art. SPLC is ranked as a top conference and for this 26th edition, we strive to continue the success of previous years by welcoming high-quality submissions for the research track. SPLC started 26 years ago with a focus on software product lines, but by now it has become a main event for numerous closely related areas, such as configurable systems, product configuration, and software variability. We are negotiating a special issue with a top-tier journal. In addition, each accepted full paper of the research track is considered for the Best Research Paper Award, and the authors are encouraged to submit an extended version of their paper to the special issue. The Best Student Research Paper Award is reserved for papers with a PhD student as the main author. Topics The following is a list of topics of interest to SPLC, but we also invite submissions to related topics. If in doubt, feel free to ask the track chairs (see below). AI: genetic algorithms, neural networks, and machine learning for product lines Architecture, design, and visualization of product lines Dynamic software product lines, reconfigurable systems, (self-)adaptive systems Evolution, maintenance, and continuous integration for product lines (e.g., DevOps) Formal methods and SPL verification techniques (e.g., program analysis, model checking) Green and sustainable technologies for variation Human, organizational and social aspects of product lines (e.g., BPM, collaborative modeling and development, cooperative configuration processes, economics, program comprehension) Language product lines, and domain-specific and programming languages for product lines Multi product lines, program families, product lines of product lines, software ecosystems Non-functional properties: modeling, analysis, and optimization (e.g., performance, energy) Reverse engineering, variability mining and refactoring (e.g., migration from clone-and-own) Recommender systems for configurators and feature models (e.g., CSP/SAT/SMT solvers) Specification and modeling of SPL (e.g., domain-specific modeling, model-driven engineering) Testing product lines (e.g., product sampling, test-case selection and prioritization, mutations) Variability management and variability modeling (e.g., feature models, decision models)
최종 수정: Dou Sun ()

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AA*92.4STOCACM Symposium on Theory of Computing2026-11-022027-06-06
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CB62.7IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Image Processing On LineIPOL2105-1232
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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