Evolvix BEST Names for semantic reproducibility across code2brain interfaces
Autor: | Ayalew Mentewab, Dave Sescleifer, Richard M. Kliman, Claire Nusbaum, Jerdon W Dresel, Ivan Pereda-Zorrilla, Yazeed Sabri, Andrew Zietlow, Erik D Nolan, Martha Loewe, Anthony Pietsch, Samantha Pietenpol, Vaibhav Vyas, Noah P. Waters, Inês Dutra, Rodrigo Smith, Seth A. Keel, Erika Freiberg, Alyssa Hotz, Ben Liblit, Bret Hanlon, Arezoo Movaghar, Morgaine Gilchrist-Scott, Michael C. Ferris, Sonya Loberger, Jocelyn R Meyer, Nathan Fregien, Katherine S. Scheuer, Brian McLoone, Christine G. Javid, Sarah L. Atzen, Jacob Goldfinger, Cecilia L. Moog, Laurence Loewe, John Yin |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
media_common.quotation_subject Big data evolutionary systems biology simulations computer.software_genre programming language paradigms and naming General Biochemistry Genetics and Molecular Biology Backward compatibility ontology computing 03 medical and health sciences 0302 clinical medicine History and Philosophy of Science flipped programming language design Software Design Terminology as Topic Data Mining Humans media_common Internet names of identifiers in code business.industry General Neuroscience Computational Biology Reproducibility of Results computer.file_format Original Articles debugging code2brain interfaces Cloud Computing fundamental modes of computing 030104 developmental biology Debugging Biological Ontologies Brain-Computer Interfaces Software design The Internet Original Article Programming Languages Executable Artificial intelligence Compiler business computer 030217 neurology & neurosurgery Natural language processing Software Coding (social sciences) |
Zdroj: | Annals of the New York Academy of Sciences Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
ISSN: | 1749-6632 0077-8923 |
Popis: | Names in programming are vital for understanding the meaning of code and big data. We define code2brain (C2B) interfaces as maps in compilers and brains between meaning and naming syntax, which help to understand executable code. While working toward an Evolvix syntax for general-purpose programming that makes accurate modeling easy for biologists, we observed how names affect C2B quality. To protect learning and coding investments, C2B interfaces require long-term backward compatibility and semantic reproducibility (accurate reproduction of computational meaning from coder-brains to reader-brains by code alone). Semantic reproducibility is often assumed until confusing synonyms degrade modeling in biology to deciphering exercises. We highlight empirical naming priorities from diverse individuals and roles of names in different modes of computing to show how naming easily becomes impossibly difficult. We present the Evolvix BEST (Brief, Explicit, Summarizing, Technical) Names concept for reducing naming priority conflicts, test it on a real challenge by naming subfolders for the Project Organization Stabilizing Tool system, and provide naming questionnaires designed to facilitate C2B debugging by improving names used as keywords in a stabilizing programming language. Our experiences inspired us to develop Evolvix using a flipped programming language design approach with some unexpected features and BEST Names at its core. |
Databáze: | OpenAIRE |
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