Pregled bibliografske jedinice broj: 472043
Software Component Quality Prediction in the Legacy Product Development Environment Using Weibull and Other Mathematical Distributions
Software Component Quality Prediction in the Legacy Product Development Environment Using Weibull and Other Mathematical Distributions // Proceedings of the 17th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2009 / Nikola Rožić, Dinko Begušić (ur.).
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2009. str. 134-138 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Software Component Quality Prediction in the Legacy Product Development Environment 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 of the 17th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2009
/ Nikola Rožić, Dinko Begušić - Split : Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2009, 134-138
ISBN
978-953-290-013-2
Skup
SoftCom 2009
Mjesto i datum
Split, Hrvatska, 24.09.2009. - 26.09.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Software quality; prediction techniques; Quality of Service; probabilistic theory; statistical distribution; Weilbull; Rayleigh; Lgnormal; exponential
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. Software development organization must have indication and prediction about software component quality and project performances in general. One of the software component quality prediction techniques is statistical and probabilistic technique. The paper deals with software quality prediction techniques, different applied models in different development projects and faults existing indicators. Three case studies are presented and evaluated for prediction of software quality in very large development projects within the AXE platform 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)