Title :
A Cloud Service Design for Quality Evaluation of Design Patterns
Author :
Nien-Lin Hsueh ; Ju-Yun Wang ; Der-Hong Ting
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Feng-Chia Univ., Taichung, Taiwan
Abstract :
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.
Keywords :
cloud computing; object-oriented methods; software performance evaluation; software quality; analysis time; cloud service design; computation performance; design pattern quality evaluation; effectiveness evaluation cloud service; effectiveness evaluation method; open source projects; real time data analysis; software engineering; software quality; source code size; Cloud computing; Computer architecture; Context; Open source software; Real-time systems; Software quality; Hadoop; MapReduce; cloud computing; design pattern; software evolution; software quality;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
DOI :
10.1109/ICGEC.2012.9