TY - GEN
T1 - Software reliability growth models incorporating fault dependency with various debugging time lags
AU - Huang, Chin Yu
AU - Lin, Chu Ti
AU - Kuo, Sy Yen
AU - Lyu, Michael R.
AU - Sue, Chuan Ching
PY - 2004
Y1 - 2004
N2 - Software reliability is defined as the probability of failure-free software operation for a specified period of time in a specified environment. Over the past 30 years, many software reliability growth models (SRGMs) have been proposed and most SRGMs assume that detected faults are immediately corrected. Actually, this assumption may not be realistic in practice. In this paper, we first give a review of fault detection and correction processes in software reliability modeling. Furthermore, we will show how several existing SRGMs based on NHPP models can be derived by applying the time-dependent delay function. On the other hand, it is generally observed that mutually independent software faults are on different program paths. Sometimes mutually dependent faults can be removed if and only if the leading faults were removed. Therefore, here we incorporate the ideas of fault dependency and time-dependent delay function into software reliability growth modeling. Some new SRGMs are proposed and several numerical examples are included to illustrate the results. Experimental results show that the proposed framework to incorporate both fault dependency and time-dependent delay function for SRGMs has a fairly accurate prediction capability.
AB - Software reliability is defined as the probability of failure-free software operation for a specified period of time in a specified environment. Over the past 30 years, many software reliability growth models (SRGMs) have been proposed and most SRGMs assume that detected faults are immediately corrected. Actually, this assumption may not be realistic in practice. In this paper, we first give a review of fault detection and correction processes in software reliability modeling. Furthermore, we will show how several existing SRGMs based on NHPP models can be derived by applying the time-dependent delay function. On the other hand, it is generally observed that mutually independent software faults are on different program paths. Sometimes mutually dependent faults can be removed if and only if the leading faults were removed. Therefore, here we incorporate the ideas of fault dependency and time-dependent delay function into software reliability growth modeling. Some new SRGMs are proposed and several numerical examples are included to illustrate the results. Experimental results show that the proposed framework to incorporate both fault dependency and time-dependent delay function for SRGMs has a fairly accurate prediction capability.
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U2 - 10.1109/COMPSAC.2005.160
DO - 10.1109/COMPSAC.2005.160
M3 - Conference contribution
AN - SCOPUS:18744373330
SN - 0769524133
T3 - Proceedings - International Computer Software and Applications Conference
SP - 186
EP - 191
BT - Proceedings of the 28th Annual International Computer Software and Applications Conference, COMPSAC 2004
T2 - Proceedings of the 28th Annual International Computer Software and Applications Conference, COMPSAC 2004
Y2 - 28 September 2004 through 30 September 2004
ER -