A Cloud Service Design for Quality Evaluation of Design Patterns

被引:0
|
作者
Hsueh, Nien-Lin [1 ]
Wang, Ju-Yun [1 ]
Ting, Der-Hong [1 ]
机构
[1] Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung 40724, Taiwan
关键词
cloud computing; design pattern; software quality; software evolution; Hadoop; MapReduce;
D O I
10.1109/ICGEC.2012.9
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In recent years, the influences of design patterns on software quality have attracted increasing attention in the area of software engineering, as design patterns encapsulate valuable knowledge to resolve design problems, and more importantly to improve the design quality. Our previous research has proposed an effectiveness evaluation method to assess the design pattern's quality. The proposed method performs experiments in open source projects. As the version of open source project grows, the analysis time increases in pace with the increasing source code size. The computation performance cannot be applicable to the actual real time data analysis. In this research, we develop an effectiveness evaluation cloud service based on powerful computing capability to process a large amount of data. We collect design pattern's applications in open source projects, and provide programmers valuable and real-time analysis information to help them inspect the value of deployed design patterns.
引用
收藏
页码:184 / 187
页数:4
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