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Programming 2027: International Conference on the Art, Science, and Engineering of Programming

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会议日期:
2027-03-15
会议地点:
Kyoto, Japan
届数:
浏览: 13058   关注: 2   参加: 0

会伴指数 (CP-I)

41.6 / 100
全站第 4,705 名 / 共 5,680 个会议 · 前 83%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
19
社区关注 (10%)
21
资料公开度 (15%)
55

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置信度 45% —— 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 2026-09-12

征稿

Programming 2027 (International Conference on the Art, Science, and Engineering of Programming) is an academic conference held in Kyoto, Japan on 2027-03-15.

Scope The Art, Science, and Engineering of Programming accepts papers that advance knowledge of programming. Almost anything about programming is in scope, but in each case there should be a clear relevance to the act and experience of programming. Additionally, papers must be written in a scholarly form. Scholarly works are those that describe ideas in the context of other ideas that are already known, so to contribute to the systematic and long-standing chaining of knowledge. Papers that fail to properly contextualize the work will not be considered. We accept descriptions of work under different perspectives: Art: knowledge and technical skills acquired through practice and personal experiences. Examples include libraries, frameworks, languages, APIs, programming models and styles, programming pearls, and essays about programming. Science (Theoretical): knowledge and technical skills acquired through mathematical formalisms. Examples include formal programming models and proofs. Science (Empirical): knowledge and technical skills acquired through experiments and systematic observations. Examples include user studies and programming-related data mining. Engineering: knowledge and technical skills acquired through designing and building large systems and through calculated application of principles in building those systems. Examples include measurements of artifacts’ properties, development processes and tools, and quality assurance methods. Independent of the type of work, the journal accepts submissions covering several areas of expertise, including but not limited to: General-purpose programming Distributed systems programming Parallel and multi-core programming Graphics and GPU programming Security programming User interface programming Database programming Visual and live programming Data mining and machine learning programming, and for programming Interpreters, virtual machines, and compilers Modularity and separation of concerns Model-based development Metaprogramming and reflection Testing and debugging Program verification Programming education Programming environments Social coding Upon submission, authors are requested to state what type of paper they are submitting and what areas of expertise are covered by the paper. These two classifications, combined, are used to select reviewers and to apply suitable assessment criteria for the papers. They are not used beyond that purpose. Misclassification by the authors may lead to negative assessments from reviewers.
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