Application of Weibull distribution model in estimating the best time for software delivery

doi:10.3778/j.issn.1002-8331.2009.23.019

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (23): 67-69.DOI: 10.3778/j.issn.1002-8331.2009.23.019

• 研发、设计、测试 • Previous Articles Next Articles

Application of Weibull distribution model in estimating the best time for software delivery

LI Jun¹，DAI Zu-hua²

1.School of Management，Xi’an Jiaotong University，Xi’an 710049，China
2.College of Mathematics and Information，Northwest Normal University，Lanzhou 730070，China

Received:2009-04-03 Revised:2009-05-04 Online:2009-08-11 Published:2009-08-11

Weibull分布在软件最优交付时间估算中的应用

李钧¹，代祖华²

1.西安交通大学管理学院，西安 710049
2.西北师范大学数信学院，兰州 730070

Abstract

Abstract: The best software delivery time of a software product is highly determined by the software reliability estimation.Weibull distribution is an effective model for software reliability analysis，which well describes statistical characteristics of defect detection in software testing.Based on the analysis of the Weibull distribution characteristics，a Weibull distribution accumulative function fitting model is suggested，and the discontinuity problem of defect detection is resolved.Furthermore，by making use of the model，two kinds of formula to evaluate the best time for software delivery are given.Finally，an example is analyzed to prove the model’s effectiveness.

Key words: software testing, Weibull distribution, software reliability, best software delivery time

摘要： 软件最优交付时间在很大程度上取决于软件可靠性估算。Weibull分布较有效地描述了软件测试过程中错误发现的统计特征，是一种有效的软件可靠性分析模型。在分析Weibull分布的基础上，提出了Weibull分布的累计函数拟合模型，解决了错误发现的不连续问题，推导出两种利用Weibull累计函数模型进行软件最优交付时间的估算公式，并结合具体实例验证了模型的有效性。

关键词: 软件测试, Weibull分布, 软件可靠性, 软件最佳交付时间

CLC Number:

TP311

LI Jun¹，DAI Zu-hua². Application of Weibull distribution model in estimating the best time for software delivery[J]. Computer Engineering and Applications, 2009, 45(23): 67-69.

李钧¹，代祖华². Weibull分布在软件最优交付时间估算中的应用[J]. 计算机工程与应用, 2009, 45(23): 67-69.

[1]	TAN Lijuan, ZHENG Wei, LIU Youlin, FAN Xin, YANG Fengyu. Survey of Airborne Software Test and Verification Methods for Airworthiness Standards [J]. Computer Engineering and Applications, 2021, 57(15): 9-22.
[2]	LIU Youlin, ZHENG Wei, TAN Lijuan, FAN Xin, YANG Fengyu. Summary of Airborne Software Testing and Verification Tools for Airworthiness Standards [J]. Computer Engineering and Applications, 2021, 57(11): 1-10.
[3]	WANG Ying. Software testing with uncertain requirements [J]. Computer Engineering and Applications, 2018, 54(20): 35-41.
[4]	XUE Meng, JIANG Shujuan, WANG Rongcun. Systematic review of test data generation based on intelligent optimization algorithm [J]. Computer Engineering and Applications, 2018, 54(17): 16-23.
[5]	HE Haijiang. Software fault localization model based on linear classification algorithm [J]. Computer Engineering and Applications, 2017, 53(21): 42-48.
[6]	GUO Dong1, XIAO Qingtai1，2, XU Jianxin1，2. Cloud computing energy consumption optimization model research based on Weibull distribution [J]. Computer Engineering and Applications, 2017, 53(15): 77-84.
[7]	WANG Xinying1, JIANG Xiajun2. Generating test scenarios from UML activity diagram using hybrid genetic algorithm [J]. Computer Engineering and Applications, 2017, 53(1): 57-62.
[8]	ZHANG Ke, ZHANG Deping. Fault localization based on gene expression programming [J]. Computer Engineering and Applications, 2016, 52(9): 6-11.
[9]	FENG Lulu, DING Zuohua. Study to improve coverage-based fault localization based on discovery of coincidental correctness test cases [J]. Computer Engineering and Applications, 2015, 51(22): 252-257.
[10]	SHAO Mingzheng1, QI Jianfeng1, HAN Zhen2. Software reliability estimate method based on function-path [J]. Computer Engineering and Applications, 2015, 51(16): 265-270.
[11]	XUE Lixing, ZUO Decheng, ZHANG Zhan. Software reliability analysis model incorporating system calls and multiple failure modes [J]. Computer Engineering and Applications, 2014, 50(9): 5-11.
[12]	LIU Bo, LI Shuyu. Study of ISTREM software testing reliability evaluation method [J]. Computer Engineering and Applications, 2014, 50(22): 65-68.
[13]	ZHANG Yi, PAN Zhengjun. Method of constructing multi slice fault testing constrains based on optimal fusion set [J]. Computer Engineering and Applications, 2014, 50(20): 264-270.
[14]	SHI Zhu, ZHENG Zhong. Study and practice on applications of software reliability models [J]. Computer Engineering and Applications, 2013, 49(7): 52-54.
[15]	ZHANG Hao1, ZHAN Haiyan1, DENG Yuetang2, JIANG Ming3. Automatic fault localization with bitstream modification for H.264 decoders [J]. Computer Engineering and Applications, 2013, 49(19): 177-179.

Application of Weibull distribution model in estimating the best time for software delivery

Weibull分布在软件最优交付时间估算中的应用

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics