Conference Information

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

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Programming
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Submission Date:
Notification Date:
Conference Date:
2027-03-15
Location:
Kyoto, Japan
Years:
Viewed: 13059   Tracked: 2   Attend: 0

Conference Partner Index (CP-I)

41.6 / 100
Ranked #4,705 of 5,680 conferences · Top 83%
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
21
Public record completeness (15%)
55

Inputs used: Editions on record: 1 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-12

Call For Papers

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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