Sensitivity-Analysis and Estimating Number-of-Faults in Removal Debugging

Paul S F Yip, Liquni Xi Zhejiang, Daniel Y T Fong, Yu Hayakawa

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)300-305
Number of pages6
JournalIEEE Transactions on Reliability
Volume48
Issue number3
DOIs
Publication statusPublished - 1999 Sep
Externally publishedYes

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Program debugging
Sensitivity analysis
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Keywords

  • Martingale estimating equation
  • Removal debugging
  • Seeded fault
  • Sensitivity analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Graphics and Computer-Aided Design
  • Software
  • Safety, Risk, Reliability and Quality

Cite this

Sensitivity-Analysis and Estimating Number-of-Faults in Removal Debugging. / Yip, Paul S F; Zhejiang, Liquni Xi; Fong, Daniel Y T; Hayakawa, Yu.

In: IEEE Transactions on Reliability, Vol. 48, No. 3, 09.1999, p. 300-305.

Research output: Contribution to journalArticle

Yip, Paul S F ; Zhejiang, Liquni Xi ; Fong, Daniel Y T ; Hayakawa, Yu. / Sensitivity-Analysis and Estimating Number-of-Faults in Removal Debugging. In: IEEE Transactions on Reliability. 1999 ; Vol. 48, No. 3. pp. 300-305.
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