Statistical Learning of API Mappings for Language Migration

被引：7

作者：

Anh Tuan Nguyen ^{[1
]}

Hoan Anh Nguyen ^{[1
]}

Tung Thanh Nguyen ^{[2
]}

Nguyen, Tien N. ^{[1
]}

机构：

[1] Iowa State Univ, ECpE Dept, Ames, IA 50011 USA

[2] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA

来源：

36TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE COMPANION 2014) | 2014年

关键词：

Algorithms; Documentation; Experimentation; Measurement; Language Migration; Statistical Machine Translation;

D O I：

10.1145/2591062.2591144

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The process of migrating software between languages is called language migration or code migration. To reduce manual effort in defining the rules of API mappings for code migration, in this work, we investigate a data-driven model that statistically learns the mappings between API usages from the corpus of the corresponding methods in the client code of the APIs in two languages.

引用

页码：618 / 619

页数：2

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