会議情報

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

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Programming
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投稿締切日:
通知日:
開催日:
2027-03-15
開催地:
Kyoto, Japan
開催回数:
閲覧: 13057   フォロー: 2   参加: 0

会伴インデックス (CP-I)

41.6 / 100
全 5,680 件中 第 4,705 位 · 上位 83%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
19
コミュニティの注目度 (10%)
21
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：1 · 会伴でフォローしている研究者：2 人 · 過去 24 か月にこのページを開いた研究者：3 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-12

論文募集

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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