Información de la conferencia

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

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Programming
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Día de Entrega:
Fecha de Notificación:
Fecha de conferencia:
2027-03-15
Ubicación:
Kyoto, Japan
Ediciones:
Vistas: 13056   Seguidores: 2   Asistentes: 0

Índice Conference Partner (CP-I)

41,6 / 100
Puesto n.º 4.705 de 5.680 congresos · 83% superior
Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
19
Atención de la comunidad (10%)
21
Integridad del registro público (15%)
55

Datos utilizados: Ediciones documentadas: 1 · Investigadores que lo siguen aquí: 2 · Investigadores que abrieron esta página en los últimos 24 meses: 3

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Confianza 45 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-12

Solicitud de Artículos

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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BScience of Computer Programming1.6Elsevier0167-6423
The Journal of Logic and Algebraic ProgrammingElsevier1567-8326
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International Journal of Programming Languages and ApplicationsAIRCC1839-6291
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