Pregled bibliografske jedinice broj: 514544
Software Component Quality–Finite Mixture Component Model Using Weibull and Other Mathematical Distributions
Software Component Quality–Finite Mixture Component Model Using Weibull and Other Mathematical Distributions // Proceedings MIPRO 2011, 34th International Convention on Information and Communication Technology, Electronics and Microelectronics, Vol. II CTI Telecommunications & Information / Stjepan Golubić, Branko Mikac, Vlasta Hudek, Dina Šimunić (ur.).
Zagreb: Denona, 2011. str. 339-343 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Software Component Quality–Finite Mixture Component Model Using Weibull and Other Mathematical Distributions
Autori
Hribar, Lovre
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings MIPRO 2011, 34th International Convention on Information and Communication Technology, Electronics and Microelectronics, Vol. II CTI Telecommunications & Information
/ Stjepan Golubić, Branko Mikac, Vlasta Hudek, Dina Šimunić - Zagreb : Denona, 2011, 339-343
ISBN
978-953-233-061-8
Skup
MIPRO 2011
Mjesto i datum
Opatija, Hrvatska, 23.05.2011. - 27.05.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Software quality; finite mixture model; Weibull; software engineering; software component
Sažetak
Software component quality has a major influence in software development project performances such as lead-time, time to market and cost. It also affects the other projects within the organization, the people assigned into the projects and the organization in general. In this study a finite mixture of several mathematical distributions is used to describe the fault occurrence in the system based on individual software component contribution. Several examples are selected to demonstrate model fitting and comparison between the models. Four case studies are presented and evaluated for modeling software quality in very large development projects within the AXE platform, BICC as a call control protocol in the Ericsson Nikola Tesla R&D.
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.
Profili:
Lovre Hribar
(autor)