Title :
Sensitivity-analysis and estimating number-of-faults in removal debugging
Author :
Yip, Paul S F ; Xi, Liqun ; Fong, Daniel Y T ; Hayakawa, Y.
Author_Institution :
Hong Kong Univ., Hong Kong
fDate :
9/1/1999 12:00:00 AM
Abstract :
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 and 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
Keywords :
failure analysis; program debugging; sensitivity analysis; software reliability; efficiency improvement; failure rate; martingale equation; newly detected fault; number-of-faults estimation; removal debugging; seeded fault; sensitivity analysis; Computational modeling; Equations; Fault detection; History; OFDM modulation; Software debugging; Software standards;
Journal_Title :
Reliability, IEEE Transactions on