ABDOM的参数规范化与离散化改进

何智涛; 晏海华; 刘超

ABDOM的参数规范化与离散化改进

北京航空航天大学计算机学院, 北京 100191

基金项目: 国家自然科学基金资助项目(90718018);核高基重大专项(软件类)资助项目(2009ZX01045-005-002-02)

详细信息

中图分类号: TP 311
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- 被引次数: 0
出版历程
- 收稿日期: 2011-06-13
- 网络出版日期: 2012-10-30

Improvement on ABDOM with normalized and discrete parameters

School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 为了更好利用叠加式双阻尼振荡模型(ABDOM,Accumulative Bi-Damped Oscillation Model)来描述、预测和评估真实软件缺陷发现时序过程,在提出理想软件缺陷发现时序过程范型(ISPSDD,Ideal Sequential Process of Software Defects Discovery)的基础上,对ABDOM中软件缺陷发现阻尼 a 和软件缺陷发现周期阻尼 b 的规范化进行了进一步讨论,提出了软件缺陷发现时序过程质量评价指数 Q ,给出了其典型取值和相关意义,并将其引入ABDOM,最终得到了经过参数规范化和离散化改进后的ABDOM-Q_d,并利用一个真实的工程实践项目数据对ABDOM-Q_d 进行了验证.
- 软件缺陷 /
- 缺陷模型 /
- 叠加双阻尼振荡模型
Abstract: In order to describe, predict and evaluate the true software defects discovery process more accurately with accumulative bi-damped oscillation model(ABDOM), on the basis of proposing ideal sequential process of software defects discovery(ISPSDD), software defects discovery damp a and software defects discovery cycle damp b of ABDOM were studied with normalized and discrete parameters and a software defects discovery process quality evaluation coefficient Q was proposed as well as its typical values and corresponding significances. With Q introduced into ABDOM, finally an improved model ABDOM-Q_d with normalized and discrete parameters was gotten and its validity was verified with the software defect data from a true test project.
- software defect /
- defect model /
- accumulative bi-damped oscillation model (ABDOM)

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参考文献(6)

[1]	何智涛,晏海华,刘超.软件缺陷发现时序过程的叠加双阻尼振荡模型[J].软件学报,2010,21(12):2999-3010 He Zhitao,Yan Haihua,Liu Chao.Accumulative bi-damped oscillation model for the sequential process of software defect discovery[J].Journal of Sofware,2010,21(12):2999-3010(in Chinese)
[2]	王青,伍书剑,李明树,软件缺陷预测技术[J].软件学报,2008,19(7):1565-1580 Wang Qing,Wu Shujian,Li Mingshu.Software defect prediction[J].Journal of Sofware,2008,19(7):1565-1580(in Chinese)
[3]	Trachtenberg M.Discovering how to ensure software reliability[J].RCA Engineer,1982,27(1):53-57
[4]	Jelinski Z,Moranda P.Software reliability research //Freiberger W.Statistical Computer Performance Evaluation.New York:Academic Press,1972:465-484
[5]	Yamada S,Ohba M,Osaki S.S-shaped reliability growth modeling for software error detection[J].IEEE Trans on Relibility,1983,R-32(5):475-478
[6]	王彤,王良,基于时序模型的Bug 数的分析与预测[J].现代计算机,2007,273(12):33-36 Wang Tong,Wang Liang.Analysis and forecas ting of bugs based on time series model[J].Modern Computer,2007,273(12):33-36 (in Chinese)