YU Ping1, HU Ling2. A Software Quality Measurement Algorithm Based on Extension Cluster Analysis[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(11): 71-77. doi: 10.13718/j.cnki.xsxb.2018.11.012
| Citation: |
YU Ping1, HU Ling2. A Software Quality Measurement Algorithm Based on Extension Cluster Analysis[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(11): 71-77. doi: 10.13718/j.cnki.xsxb.2018.11.012
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A Software Quality Measurement Algorithm Based on Extension Cluster Analysis
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1. Department of Software, Chongqing College of Electronic Engineering, Chongqing 401331, China;
2. Education Administrator Office, Neijiang Normal University, Neijiang Sichuan 641100, China
More Information
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Received Date:
19/01/2018
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Abstract
A software quality measure algorithm based on extension clustering analysis is studied.Firstly,an improved software quality measure and evaluation system is established.Under this framework,the evaluation level is divided.Then the extension cluster analysis is carried out,and the standardized processing model and the weight distribution model of the evaluation index are given.The extension of the classical domain and joint domain of different levels of software quality measurement are established.The extension correlation degree calculation model between software quality measure analysis object and extension domain of different measure level with different evaluation index is given,and a realization model of software quality measurement algorithm based on extension clustering analysis is put forward.Finally,the verification analysis of the algorithm are carried out based on the case,which shows the effectiveness and maneuverability of the algorithm.
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