Lack of common vocabulary for programming systems

Source paper

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Technical Dimensions of Programming Systems

(2023) · Jakubovic, Joel · Edwards, Jonathan · Petricek, Tomas

Related by similarity (8)

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Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Programming systems research lacks a common vocabulary and systematic framework comparable to programming language research, hindering cumulative progress.claim0.814
Problem statement motivating the technical dimensions framework; notes that publications tend to present singleton systems rather than addressing issues across multiple languages.
Programming Systemconcept0.781
Defined as an integrated and complete set of tools sufficient for creating, modifying, and executing programs, including notations, facilities, and interfaces—broader than programming languages alone.
What unexplored or overlooked possibilities exist in the design space of programming systems?question0.770
Motivating question for using technical dimensions as a map to reveal gaps in the design space.
Programming System Definitionconcept0.760
A programming language is low level when its programs require attention to the irrelevant.concept0.753
Epigraph by Alan Perlis motivating the search for abstract conceptual models in Fruit's design philosophy.
Studying programming systems requires a paradigm shift from programming languages, where interaction between programmer and system becomes central rather than program code alone.claim0.743
Core assertion that systems perspective is incommensurable with language perspective; interaction, not code, is what matters in systems analysis.
What are the appropriate boundaries for analyzing a programming system?question0.733
Raised via Java/Eclipse example; boundaries significantly affect analysis and are a design choice (minimal vs. realistic systems).
Simple problems require systems that expose simple solutions; forcing complex solutions signals misaligned abstraction level.claim0.733
Parlog's merge process for client-server is unnecessarily complex; Linda's tuple operations remain flexible across problem variants.