{"title":"API映射的数据驱动推理","authors":"A. Gokhale, Daeyoung Kim, V. Ganapathy","doi":"10.1145/2688471.2688480","DOIUrl":null,"url":null,"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.","PeriodicalId":339630,"journal":{"name":"Proceedings of the 2nd Workshop on Programming for Mobile & Touch","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Data-Driven Inference of API Mappings\",\"authors\":\"A. Gokhale, Daeyoung Kim, V. Ganapathy\",\"doi\":\"10.1145/2688471.2688480\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":339630,\"journal\":{\"name\":\"Proceedings of the 2nd Workshop on Programming for Mobile & Touch\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd Workshop on Programming for Mobile & Touch\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2688471.2688480\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd Workshop on Programming for Mobile & Touch","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2688471.2688480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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