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(6 citation statements)

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“…Irrespective of the estimation technique adopted, some degree of uncertainty will be associated with the predictions . Thus, the confidence intervals are often used to describe the range of values into which an estimation is expected to fall.…”

confidence: 99%

“…Thus, the confidence intervals are often used to describe the range of values into which an estimation is expected to fall. For a Poisson‐type model of the finite failures category, the 100 × (1 − α ) % confidence intervals for the mean value function can be approximated as follows: $$Upper\phantom{\rule{1em}{0ex}}bound=m(t)+{k}_{1-\alpha /2}\sqrt{m(t)}\phantom{\rule{1em}{0ex}}\phantom{\rule{1em}{0ex}}\text{and}Lower\phantom{\rule{1em}{0ex}}bound=m(t)-{k}_{1-\alpha /2}\sqrt{m(t)},$$ where k 1 − α /2 is the 100 × (1 − α /2)‐th percentile of a standard normal distribution. As a consequence, the 80% upper bound and lower bound for our proposed model with L layers of faults can be calculated in the following way: $$mfalse(tfalse)\pm {k}_{0.90}\sqrt{mfalse(tfalse)}=true\sum _{l=1}^{L}{a}_{l}\left(1-\underset{{e}^{false\{\xb7false\}}\phantom{\rule{0ex}{0ex}}for\phantom{\rule{0ex}{0ex}}l\phantom{\rule{0ex}{0ex}}times}{\underset{\u23df}{{e}^{{\xb7}^{{\xb7}^{{\xb7}^{{e}^{\frac{{r}_{3}}{{r}_{2}}false({e}^{\frac{{r}_{2}}{{r}_{1}}false({e}^{-{r}_{1}t}-1false)}-1false)}-1}}}}}}\right)\pm {k}_{0.90}\sqrt{true\sum _{l=1}^{L}{a}_{l}\left(1-\underset{}{\underset{}{{e}^{{\xb7}^{{\xb7}^{{\xb7}^{{e}^{\frac{{r}_{3}}{{r}_{2}}false({e}^{\frac{{r}_{2}}{{r}_{1}}false({e}^{-{r}_{1}t}-1false)}-1false)}-}}}}}}\right)}$$ …”

confidence: 99%

“…Over past three decades, many Software Reliability Growth Models (SRGMs) have been proposed to evaluate software reliability based on real collected failure data [5][6][7][8][9][10] and they can provide quantitative information about how to enhance the desired reliability of software products and improve the process of software development and testing. During SDLC, project managers have to allocate development and/or testing effort systematically to maximize the software reliability and to minimize potential failure penalties [11].…”

confidence: 99%

“…Lin [18] considered the influence of test phase transitions to quantify the variations in the effect of different test phases and discussed a software reliability modeling framework.…”

mentioning

confidence: 99%