These techniques are traditionally classified into four groups: fault prevention, fault removal, fault forecasting, and fault tolerance [38].
An NHPP software reliability model with fault-dependent detection, imperfect fault removal and the maximum number of faults can be formulated as follows: begin{aligned} frac{{mathrm {d}}m(t)}{{mathrm {d}}t}=b( t m( t)left[ {1-frac{m( t)}{L}} right] -c(t m(t).
In this paper, we introduce a new NHPP software reliability model that incorporates fault-dependent detection and imperfect fault removal, along with the maximum number of faults contained in the software.
The discrete state-space of a power system model shown in Fig. 1a consists of a normal state p (pre-fault), an aggregated outage state o and a set of N degraded yet operational states (d_1), (cdots), (d_i), (cdots), (d_N), each corresponding to a post-fault state upon the removal of the equipment experiencing a critical fault.
An NHPP software reliability model, which not only considers fault-dependent detection and imperfect fault removal process, but also takes into account the maximum number of faults in the software, is proposed in this paper.
We estimate the maximum number of faults in the software considering fault-dependent detection and imperfect fault removal to provide software measurement metrics, such as remaining errors, failure rate and software reliability.
"Dracula" is full of faults.
Fault interaction can bring to a time synchronization of faults [ Scholz, 2010].
All drug combinations are analyzed across all single faults and presented in Table 3 showing drug vector, count of faults rectified, and fault coverage.
