抄録
Summary & Conclusions -Estimating the number of faults in a computer program is important in software debugging. A martingale equation is used to estimate the number of faults in removal-debugging by assuming a known proportionality constant between the failure rate of a 'newly detected fault' and a 'seeded fault'. The sensitivity of the assumption is examined, and the results are generalized to allow an unknown proportionality. The information of the proportionality is shown to be crucial in the precision & availability of the estimates. It is advisable to obtain the information about the proportionality constant from external sources in order to improve the efficiency of the method in this paper.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 300-305 |
| ページ数 | 6 |
| ジャーナル | IEEE Transactions on Reliability |
| 巻 | 48 |
| 発行部数 | 3 |
| DOI | |
| 出版物ステータス | Published - 1999 9 |
| 外部発表 | Yes |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Hardware and Architecture
- Computer Graphics and Computer-Aided Design
- Software
- Safety, Risk, Reliability and Quality
これを引用
Sensitivity-Analysis and Estimating Number-of-Faults in Removal Debugging. / Yip, Paul S F; Zhejiang, Liquni Xi; Fong, Daniel Y T; Hayakawa, Yu.
：: IEEE Transactions on Reliability, 巻 48, 番号 3, 09.1999, p. 300-305.研究成果: Article
}
TY - JOUR
T1 - Sensitivity-Analysis and Estimating Number-of-Faults in Removal Debugging
AU - Yip, Paul S F
AU - Zhejiang, Liquni Xi
AU - Fong, Daniel Y T
AU - Hayakawa, Yu
PY - 1999/9
Y1 - 1999/9
N2 - Summary & Conclusions -Estimating the number of faults in a computer program is important in software debugging. A martingale equation is used to estimate the number of faults in removal-debugging by assuming a known proportionality constant between the failure rate of a 'newly detected fault' and a 'seeded fault'. The sensitivity of the assumption is examined, and the results are generalized to allow an unknown proportionality. The information of the proportionality is shown to be crucial in the precision & availability of the estimates. It is advisable to obtain the information about the proportionality constant from external sources in order to improve the efficiency of the method in this paper.
AB - Summary & Conclusions -Estimating the number of faults in a computer program is important in software debugging. A martingale equation is used to estimate the number of faults in removal-debugging by assuming a known proportionality constant between the failure rate of a 'newly detected fault' and a 'seeded fault'. The sensitivity of the assumption is examined, and the results are generalized to allow an unknown proportionality. The information of the proportionality is shown to be crucial in the precision & availability of the estimates. It is advisable to obtain the information about the proportionality constant from external sources in order to improve the efficiency of the method in this paper.
KW - Martingale estimating equation
KW - Removal debugging
KW - Seeded fault
KW - Sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=0000935996&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0000935996&partnerID=8YFLogxK
U2 - 10.1109/24.799902
DO - 10.1109/24.799902
M3 - Article
AN - SCOPUS:0000935996
VL - 48
SP - 300
EP - 305
JO - IEEE Transactions on Reliability
JF - IEEE Transactions on Reliability
SN - 0018-9529
IS - 3
ER -