Improvement of capture-recapture models for estimating software defect Content

doi:10.3778/j.issn.1002-8331.2008.34.024

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (34): 80-83.DOI: 10.3778/j.issn.1002-8331.2008.34.024

• 研发、设计、测试 • Previous Articles Next Articles

Improvement of capture-recapture models for estimating software defect Content

NIE Jian-ping¹,LV Hai-yan³,HAN Ke²

1.The 20th Team，the PLA Commanding Communications Academy，Wuhan 430010，China
2.Institute of System，China Electronical System Engineering Company，Beijing 100039，China
3.The Staff Room of Information Operations，the PLA Commanding Communications Academy，Wuhan 430010，China

Received:2007-12-13 Revised:2008-03-17 Online:2008-12-01 Published:2008-12-01
Contact: NIE Jian-ping

软件缺陷估计中捕获再捕获方法的改进

聂剑平¹,吕海燕³,韩柯²

1.中国人民解放军通信指挥学院 20队，武汉　430010
2.中国电子设备系统工程公司系统所，北京　100039
3.中国人民解放军通信指挥学院信息作战教研室，武汉　430010

通讯作者: 聂剑平

Abstract

Abstract: Capture-recapture is one of the common methods for estimating software defect content after software inspection.Because capture-recapture’s estimators have a general trend of underestimation，two new experience-based algorithms are put forward in this paper.Based on some data of two literatures，virtual software inspections are carried out，and the performance of both original and improved estimators are compared and analyzed.The usable scopes of two new algorithms are proposed in the end.

Key words: software defect, defect content estimation, capture-recapture

摘要： 捕获－再捕获是一种用于估计评审后软件产品中剩余缺陷的常用方法。由于其估计器普遍存在低估的问题，提出了两种基于历史数据的缺陷估计改进方案，在基于两篇文献的部分数据进行虚拟评审后，对比了改进前后估计器的缺陷估计效果，并确定了两种改进方案的适用范围。

关键词: 软件缺陷, 缺陷估计, 捕获再捕获

NIE Jian-ping¹,LV Hai-yan³,HAN Ke². Improvement of capture-recapture models for estimating software defect Content[J]. Computer Engineering and Applications, 2008, 44(34): 80-83.

聂剑平¹,吕海燕³,韩柯². 软件缺陷估计中捕获再捕获方法的改进[J]. 计算机工程与应用, 2008, 44(34): 80-83.

[1]	LI Li, JI Xinyuan, SONG Song. Prediction Model for Number of Software Defects in Loop [J]. Computer Engineering and Applications, 2021, 57(7): 158-163.
[2]	YANG Fengyu, HUANG Yaxuan, ZHOU Shijian, ZHENG Wei. Survey of Software Defect Prediction Combined with Multi-metrics [J]. Computer Engineering and Applications, 2021, 57(5): 10-24.
[3]	LIU Shuyi, ZHAI Ye, LIU Dongsheng. Cross-Project Software Defect Prediction Based on Multi-Strategy Feature Filtering [J]. Computer Engineering and Applications, 2019, 55(8): 53-58.
[4]	LI Yefei1，2, GUAN Guofei2, GE Chonghui2, CHEN Xiang3, NI Chao1, QIAN Zhuzhong1. FSDNP：Feature Selection Method for Software Defect Number Prediction [J]. Computer Engineering and Applications, 2019, 55(14): 61-68.
[5]	LAI Yongkai1, CHEN Xiangyu2, LIU Hai2. Research on Software Defect Prediction Based on Bayesian Logistic Regression [J]. Computer Engineering and Applications, 2019, 55(11): 204-208.
[6]	LIAO Shengping, XU Ling, YAN Meng. Software defect prediction using semi-supervised support vector machine with sampling [J]. Computer Engineering and Applications, 2017, 53(14): 161-166.
[7]	ZHANG Zhuo1, XU Ling2, YANG Dan2. Research on software defect prediction based on improved fuzzy C-means [J]. Computer Engineering and Applications, 2015, 51(7): 136-140.
[8]	ZHANG Shijin, SHANG Zhaowei. Software defect pattern analysis and location based on Cppcheck [J]. Computer Engineering and Applications, 2015, 51(3): 69-73.
[9]	YU Anlei, PI Dechang. Software defect prediction model based on PSO-BP [J]. Computer Engineering and Applications, 2013, 49(7): 64-67.
[10]	DONG Shaoyang, XIA Qingguo, LI Ning. Research on software defect list：prediction method based on grey relational analysis [J]. Computer Engineering and Applications, 2013, 49(2): 67-71.
[11]	BAO Yi1，2, WANG Tao2, QIU Guoyong2. Software defect prediction model based on line geometry division [J]. Computer Engineering and Applications, 2013, 49(14): 34-38.
[12]	REN Wei-jun,HE Yu-yao,ZHANG Wei-gang. Evaluating to software quality and testing process based on Gompertz model [J]. Computer Engineering and Applications, 2008, 44(9): 87-89.
[13]	CAO Jia. Research about size estimation methods in P2P network [J]. Computer Engineering and Applications, 2008, 44(20): 99-101.
[14]	NIE Jian-ping^1,2,HAN Ke²,CHEN Guang²,CAO Xu². Chaos analysis on process of software defect’s increase [J]. Computer Engineering and Applications, 2008, 44(11): 97-100.

Improvement of capture-recapture models for estimating software defect Content

软件缺陷估计中捕获再捕获方法的改进

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 14

Recommended Articles

Metrics