Porting Software Libraries to OpenHarmony: Transitioning from TypeScript or JavaScript to ArkTS

OpenHarmony emerges as a potent force in the mobile app domain, poised to stand alongside established industry giants. ArkTS is its main language, enhancing TypeScript (TS) and JavaScript (JS) with strict typing for improved performance. Developers are encouraged to port popular TS/JS libraries to OpenHarmony, supported by detailed guidelines. However, this requires a deep understanding of ArkTS syntax, following porting specifications, and making manual changes. An automated solution is crucial to streamline this process and foster a robust software ecosystem. As a new programming language, ArkTS currently lacks essential analysis tools for automated analysis and porting of software libraries. However, the rise of Large Language Models (LLMs) shows promise for effectively addressing automated porting tasks. There are two challenges in using LLMs to automate the porting of TS/JS libraries to OpenHarmony: (1) LLMs have limited exposure to ArkTS code, making it difficult for them to grasp the syntactical differences between ArkTS and JS/TS, as well as the various adaptation scenarios. (2) Project-level code adaptation often involves correcting numerous syntax mismatches, which complicates matters for LLMs as they must handle the interactions between different mismatches and interdependent code. In response, we introduce ArkAdapter, a project-level automatic code adaptation approach. ArkAdapter addresses Challenge 1 by establishing an adaptation knowledge repository for ArkTS syntax comprehension. It expands a collection of real code adaptation examples based on expert experience across various scenarios, improving the adaptation capabilities of LLMs through few-shot learning. ArkAdapter overcomes Challenge 2 based on an adaptation priority strategy by considering both the dependency structure and the granularity of syntax-mismatching code. This strategy helps prevent interference among various syntax mismatches and their interdependent code. Evaluation shows ArkAdapter achieves high precision (86.84