Program Code Adaption TRIZ Cases

An SDK encapsulates the vehicle control protocol behind APIs, enabling third-party development without exposing gateway-converted commands.

A WebAssembly and WIT-based access interface lets vehicle apps run across different E/E architectures with secure access to functions and data.

Assesses hardware processing and communication capability to automate control-function placement and routing, cutting software update effort.

Wrapper-generated UI code lets one factory HMI program run across different OS types without separate development environments.

ML-based de-duplication, clustering, and recontextualization clean legacy rules for cross-platform migration without vendor lock-in.

Parsing and customizing code dependencies lets ML software run on edge platforms without platform-specific expertise or network access.

A unified plug-in template with pre-compiled code lets teams reuse common service logic across IDEs and cut duplicate development work.

An RPA-based coexistence layer intercepts legacy API requests and converts them for new servers, enabling gradual database platform modernization.

Compile-time globalization code structures replace manual setup with direct source-code references, reducing errors and development time.

Multi-level IR decomposition and automated graph transformation reduce manual tuning overhead while improving code portability across systems.

Decoupling AVStream pins from multimedia flows enables a userspace-driven model in Windows that eases Android-style porting and maintenance.

Converts mobile app UI and API calls into web-based in-vehicle equivalents, enabling local deployment with lower integration overhead and better privacy.

Parsed code dependencies are customized into a self-contained runtime so ML software can run on edge platforms without platform-specific setup.

Ontology-linked caching rules let application builders package critical data and assets in advance so workflows keep running offline with less bandwidth and power use.

An event bus with SOR, SoREF, cache, and outbox tables keeps microservices and monoliths consistent without synchronous coupling.

A shared memory language bridge lets modular LLM functions run across separate environments, cutting memory use and development effort.

A semantic tree captures deployment workflow patterns from one environment and composes target-specific code without manual recoding.

Phase-specific machine learning predicts configuring, testing, and bug-fixing effort to estimate software porting work across platforms.

Custom data, formats, and update schedules let users view information across incompatible computing environments without abandoning preferred interfaces.

A language bridge and shared memory let customizable AI modules operate across environments, reducing memory use and deployment complexity.

Simulation mode identifies incompatibilities before automated artifact adjustment converts application containers between programming models.

Call-stack matching filters development-only issues from IDE views, focusing computation on performance problems that affect end users.

Legacy code migration uses validation, target-application checks, and iterative AI prompts to detect incompatibilities and remediate errors.

See how third-party games are ported to small game platforms by converting project structures, design resources, and code.

A universal free-window interface lets users select and adjust multiple windows across modes, improving flexibility and efficiency.

Compile-time macro records show which code reaches the executable, reducing manual debugging during cross-platform source updates.

A pre-constructed IDE registers multiple devices, finds adapted packages, and deploys them in parallel to improve deployment efficiency.

Hardware interface devices enable direct guest OS I/O without complex software layers.

Segmented dependency views reduce information overload while preserving complete architecture data for complex cyber-physical systems.

A mapping system converts non-distributed data pipeline components into distributed equivalents for scalable processing.

A loader creates an operating environment and compiles script files into dynamic library files for direct execution on a target terminal.