FEATURE VECTOR BASED COMPONENT CLUSTERING FOR SOFTWARE REUSE

被引：1

作者：

Srinivas, Chintakindi ^{[1
]}

Rao, C. V. Guru ^{[2
]}

Radhakrishna, V ^{[3
]}

机构：

[1] Kakatiya Inst Technol & Sci, Dept Comp Sci & Egg, Warangal, Andhra Pradesh, India

[2] SR Engn Coll, Dept Comp Sci & Egg, Warangal, Andhra Pradesh, India

[3] VNR VJIET, Informat Technol Dept, Hyderabad, India

来源：

ICEMIS'18: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON ENGINEERING AND MIS | 2018年

关键词：

Software Clustering; Feature Vector; Components; Classification; SIMILARITY MEASURE; CLASSIFICATION; RETRIEVAL; SEARCH;

D O I：

10.1145/3234698.3234737

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Software reuse is concerned about the possibility of reusability of software components. It is important to think about ways, methods and approaches for extracting knowledge from software components. Knowledge mining from software components has various practical applications that range from software reuse to financial applications. This paper proposes a similarity measure for similarity computation between software components by extending our previous research. The proposed measure is used to perform component clustering. Software component clustering facilitates software reusability and software segmentation.

引用

页数：6

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