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Data-Driven Inference of API Mappings

Published: 20 October 2014 Publication History

Abstract

Porting mobile applications (apps) from one platform to another is one strategy used by developers to write cross-platform 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.

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    cover image ACM Conferences
    PROMOTO '14: Proceedings of the 2nd Workshop on Programming for Mobile & Touch
    October 2014
    48 pages
    ISBN:9781450322959
    DOI:10.1145/2688471
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 20 October 2014

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    Author Tags

    1. api mapping
    2. cross-platform porting
    3. data-driven methods
    4. inference
    5. mobile apps
    6. static analysis

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    PROMOTO '14 Paper Acceptance Rate 6 of 11 submissions, 55%;
    Overall Acceptance Rate 6 of 11 submissions, 55%

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