1.Identifying Clusters of Concepts in a Low Cohesive Class for Extract Class Refactoring Using Metrics Supplemented Agglomerative Clustering Technique

作　　者：A. Ananda Rao ;K. Narendar Reddy

出　　处：International Journal of Computer Science Issues. 2011 ;8(5).

出版社：IJCSI Press

文章 ID：86965667

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2.AMAP: ADAPTIVE MULTILEVEL AUTHENTICATION PROTOCOL ON CLOUD ENVIRONMENT

作　　者：BHARATI AINAPURE ;DEVEN SHAH ;A. ANANDA RAO

出　　处：Journal of Theoretical and Applied Information Technology. 2018 ;96(9).

出版社：Journal of Theoretical and Applied

文章 ID：218191820

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3.PROTECTING PRIVACY OF BIG DATA IN PRESENCE OF UNTRUSTED MAPPER AND REDUCER

作　　者：N. Madhusudhana Reddy ;C. Naga Raju ;A. Ananda Rao

出　　处：Indian Journal of Computer Science and Engineering. 2017 ;8(3):201-209.

出版社：Engg Journals Publications

文章 ID：206512380

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4.An Extended Model Driven Framework for End-to-End Consistent Model Transformation

作　　者：Mr. G. Ramesh ;Dr. T. V. Rajini Kanth ;Dr. A. Ananda Rao

出　　处：Indian Journal of Computer Science and Engineering. 2016 ;7(4):118-132.

出版社：Engg Journals Publications

文章 ID：216803099

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5.Identifying Clusters of Concepts in a Low Cohesive Class for Extract Class Refactoring Using Metrics Supplemented Agglomerative Clustering Technique

作　　者：A. Ananda Rao ;K. Narendar Reddy

出　　处：International Journal of Computer Science Issues. 2011 ;8(5).

出版社：IJCSI Press

文章 ID：212318138

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6.A Model Driven Framework for Automatic Detection and Tracking Inconsistencies

作　　者：A. Ananda Rao ;T. V. Rajini Kanth ;G. Ramesh

出　　处：Journal of Software. 2016 ;11(6):538-553.doi:10.17706/jsw.11.6.538-553

出版社：Academy Publisher

文章 ID：264867948

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	BHARATI AINAPURE	1篇
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