Quickjudging algorithm for software quality improvement rate

ZHANG Kai

Journal of Beijing University of Chemical Technology ›› 2007, Vol. 34 ›› Issue (s1) : 30-33.

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Journal of Beijing University of Chemical Technology ›› 2007, Vol. 34 ›› Issue (s1) : 30-33.
研究论文

Quickjudging algorithm for software quality improvement rate

  • ZHANG Kai
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Abstract

Besides carefully analyzing the sequence of software quality improvement, we als o see the general tend of the sequence. This paper intend to design a simple and useful method in order to judge the convergence rate of software quality improv ement sequence quickly by mean of the Grey theory, data smooth processing and st raightline slope. 

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ZHANG Kai. Quickjudging algorithm for software quality improvement rate[J]. Journal of Beijing University of Chemical Technology, 2007, 34(s1): 30-33

References

[1]NEUFELDER A M. How to predict software defect density during prop osal phase[C]∥ Proceedings of the IEEE 2000 National Aerospace and Electronic s Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093): 2000: 71-7 6. 
[2]LEE SA, CHOI B. Establishment of the software quality metrics for a sof tware development process[J]. Journal [JP2]of KISS: Software and Applications, 2000, 27(3): 217-[JP]226. 
[3]BAI Chenggang, CAI KY, CHEN T Y. An efficient defect estimation method for software defect curves[C]∥Proceedings 27th Annual International Computer Software and Applications Conference. COMPAC 2003: 534-953. 
[4]SNEZANA D. Quantitative software engineering methods for quality impr ovement[D]. Alberta,Canada:M Sc University of Alberta,2002. Masters Abstrac ts International, 4101:0245. Adviser: Witold Pedrycz. 
[5]HARTMAN P. Utility of popular software defect models[C]∥Annual Reliab ility and Maintainability Symposium. 2002 Proceedings: Annul Relliability and Ma intainability Symposium, 2002:306-311. 
[6]李虎. 软件质量评测的定量分析技术研究[D]. 北京:北京航空航天大学, 2001. 
[7]冯建湘,唐嵘,王双维,等. 软件质量灰色定量评价模式研究[J]. 哈尔滨工业 大学学报,2005(5): 639-641. 
[8]冯建湘,唐嵘,王双维. 软件质量要素的灰色关联分析及其应用[J]. 计算机工 程,2004(18):84-85. 
[9]罗佑新, 熊国华, 曾经梁, 等. 计算机软件质量综合评价的灰色聚类模型及其应用 [J]. 计算机工程与应用,2003(8):84-214. 〖ZK)〗
[10]李恩科,马玉祥,徐国华,等. 信息系统综合评价的灰色层次分析法[J ]. 情报学报,2001(4): 416-420. 
[11]莫燕. 灰色系统理论和层次分析法在财务软件质量评审中的应用[J]. 浙江工程 学院学报,1997(3): 244-248. 
[12]邓聚龙. 灰理论基础[M]. 武汉: 华中科技大学出版社,2002.
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