Data-Driven Inference of API Mappings

Abstract

Porting mobile applications (apps) from one platform to another is one strategy used by developers to write crossplatform apps. One challenging task in porting is transforming the app so as to use the appropriate platform-specific APIs. We have proposed a novel approach to extract functionally equivalent API methods of two platforms that simplifies this task. Our approach is inspired by a technique in natural language processing domain which extracts a translation dictionary from non-parallel corpora of two natural languages. We demonstrate a prototype implementation of the proposed approach.