Pregled bibliografske jedinice broj: 482210
Weibull Distribution in Modeling Component Faults
Weibull Distribution in Modeling Component Faults // Proceeding ELMAR-2010, 52nd International Symposium ELMAR-2010 / Mislav Grgić, Jelena Božek, Sonja Grgić (ur.).
Zagreb: Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2010. str. 183-186 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Weibull Distribution in Modeling Component Faults
Autori
Hribar, Lovre ; Duka, Denis
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceeding ELMAR-2010, 52nd International Symposium ELMAR-2010
/ Mislav Grgić, Jelena Božek, Sonja Grgić - Zagreb : Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2010, 183-186
ISBN
978-953-7044-11-4
Skup
52nd International Symposium ELMAR-2010
Mjesto i datum
Zadar, Hrvatska, 15.09.2010. - 17.09.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
software component; common component; Weibull distribution; software quality; quality prediction
Sažetak
Cost efficiency and the issue of quality are pushing software companies to constantly invest in efforts to produce enough quality applications that will arrive in time, with good enough quality to the customer. Quality is not for free, it has a price. Using the different methods of prediction, characteristic parameters will be obtained and will lead to the conclusions about quality even prior the beginning of the project. The Weibull distribution is by far the world’s most popular statistical model for life data. On the other hand, exponential distribution and Rayleigh distribution are special cases of Weibull distribution. If we want to model and predict software component quality with mentioned distribution we should take some assumption regarding them. Prediction of component quality will take us to preventive and corrective action in the organization. Based on the results of prediction and modeling of software components faults prior the project start, during project execution and finally during maintenance stage of the component lifecycle some conclusion can be made. In this paper software component prediction using different mathematical models will be presented.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Fakultet elektrotehnike i računarstva, Zagreb,
Ericsson Nikola Tesla d.d.