Idiomatic Interface Generation via Interlinguistic Definitions
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Solution Overview
Problem
Current source-to-source compilers struggle to scale to many programming language targets due to differences in definitional elements and require significant effort to support additional languages, limiting their ability to provide idiomatic interfaces across diverse programming languages.
Innovation Solution
A model-driven approach using interlinguistic definitional elements, formal grammars, and machine learning to generate idiomatic interfaces for multiple programming languages, allowing programmers to create interfaces without extra per-language effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If source-to-source compilers use traditional backend approaches to translate interfaces to target programming languages, then they can support a few structurally similar languages, but they cannot scale to many diverse programming languages without significant additional effort per language
Solution Approach 1:
The patent introduces an intermediate representation (IR) as a mediator between the source code and multiple target programming languages. The IR captures the essential semantic structure of the source code in a language-agnostic way, serving as a common intermediary that simplifies translation to diverse target languages. This intermediary layer enables the compiler to support many different programming languages without requiring complex direct translation logic for each language pair.
Solution Approach 2:
The patent creates a universal intermediate representation that can serve multiple target languages simultaneously. This IR is designed to be language-agnostic and can be translated to various programming languages through standardized backend processes. The universal IR structure enables one compiler backend to serve many different target languages, reducing overall system complexity while increasing adaptability.
2Manufacturing precision
If compilers manually define interfaces for each target programming language, then they can provide precise language-specific interfaces, but they require significant per-language effort and duplication
Solution Approach 1:
The patent uses the intermediate representation as a reusable template or copy that can be instantiated for multiple target languages. Instead of manually defining interfaces separately for each language, the IR serves as a single source of truth that can be copied and adapted to different target languages through automated processes. This copying approach maintains interface definition accuracy while eliminating redundant manual work.
Solution Approach 2:
The patent performs preliminary action by creating the intermediate representation early in the compilation process, before target-language-specific code generation. The IR captures the essential interface structure in advance, allowing subsequent target language code generation to focus only on language-specific syntax and semantics. This preliminary structuring reduces the effort required for each target language while maintaining precision.
3Ease of manufacture
If teams develop interfaces independently for different programming languages, then they can optimize for their specific language requirements, but they create duplication and inconsistency across teams
Solution Approach 1:
The patent merges the interface definition process into a unified intermediate representation that serves all target languages. Instead of separate interface definitions for each language, the IR consolidates the essential interface structure in one place. Teams can still optimize for their specific language requirements during the code generation phase from the IR, but the core interface logic is shared and consistent across all teams and languages.
Data Source
AI summary
Computer-implemented techniques for deriving many idiomatic programming language interfaces. The techniques allow a programmer to provide idiomatic interfaces in many different programming languages without extra per-language effort. The techniques provide a solution to technical problems involved in providing idiomatic interfaces in many different programming languages. In particular, the techniques solve the problem of providing idiomatic interfaces that use the different definitional elements required by different programming languages, and in a way that programmers experienced in the language expect.