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题名:
mining api mapping for language migration
作者: Zhong Hao ; Thummalapenta Suresh ; Xie Tao ; Zhang Lu ; Wang Qing
会议文集: Proceedings - International Conference on Software Engineering
会议名称: 32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010
会议日期: May 1, 201
出版日期: 2010
会议地点: Cape Town, South africa
关键词: Application programming interfaces (API) ; Computer software ; Defects ; Errors ; Linguistics ; Mapping ; Query languages
出版地: United States
ISSN: 2705257
ISBN: 9781610000000
部门归属: (1) Laboratory for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China; (2) Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education, China; (3) Institute of Software, School of Electronics Engineering and Computer Science, Peking University, China; (4) Department of Computer Science, North Carolina State University, Raleigh, NC 27695-8206, United States
主办者: Association for Computing Machinery (ACM); IEEE Computer Society; Technical Council on Software Engineering (tcse); SIGSOFT; Computer Society - South Africa
英文摘要: To address business requirements and to survive in competing markets, companies or open source organizations often have to release different versions of their projects in different languages. Manually migrating projects from one language to another (such as from Java to C#) is a tedious and error-prone task. To reduce manual effort or human errors, tools can be developed for automatic migration of projects from one language to another. However, these tools require the knowledge of how Application Programming Interfaces (APIs) of one language are mapped to APIs of the other language, referred to as API mapping relations. In this paper, we propose a novel approach, called MAM (Mining API Mapping), that mines API mapping relations from one language to another using API client code. MAM accepts a set of projects each with two versions in two languages and mines API mapping relations between those two languages based on how APIs are used by the two versions. These mined API mapping relations assist in migration of projects from one language to another. We implemented a tool and conducted two evaluations to show the effectiveness of MAM. The results show that our tool mines 25,805 unique mapping relations of APIs between Java and C# with more than 80% accuracy. The results also show that mined API mapping relations help reduce 54.4% compilation errors and 43.0% defects during migration of projects with an existing migration tool, called Java2CSharp. The reduction in compilation errors and defects is due to our new mined mapping relations that are not available with the existing migration tool. © 2010 ACM.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8826
Appears in Collections:互联网软件技术实验室 _会议论文

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Recommended Citation:
Zhong Hao,Thummalapenta Suresh,Xie Tao,et al. mining api mapping for language migration[C]. 见:32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010. Cape Town, South africa. May 1, 201.
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