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SPLC 2022: International Systems and Software Product Line Conference

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SPLC
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截稿日期:
2022-04-08
通知日期:
2022-06-02
会议日期:
2022-09-12
会议地点:
Graz, Austria
届数:
26
ICORE: B   浏览: 17819   关注: 3   参加: 1

会伴指数 (CP-I)

61.1 / 100
全站第 567 名 / 共 5,684 个会议 · 前 10%

软件工程 第 66 / 247

学术认可 (35%)
72
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
89
社区关注 (10%)
22
资料公开度 (15%)
40

用到的输入: 收录等级：ICORE B · 有据可查的届次：26 · 在会伴关注它的研究者：3 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 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 1.1 · 算于 2026-09-23

征稿

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)
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