Pregled bibliografske jedinice broj: 472031
How to improve software development process using mathematical models for quality prediction and elements of Six Sigma methodology
How to improve software development process using mathematical models for quality prediction and elements of Six Sigma methodology // Proceedings MIPRO 2010, 33rd International Convention on Information and Communication Technology, Electronics and Microelectronics, Vol. II CTI Telecommunications & Information / Stjepan Golubić, Branko Mikac, Vlasta Hudek (ur.).
Zagreb: Denona, 2010. str. 137-144 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 472031 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
How to improve software development process using mathematical models for quality prediction and elements of Six Sigma methodology
Autori
Sinovčić, Igor ; Hribar, Lovre
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings MIPRO 2010, 33rd International Convention on Information and Communication Technology, Electronics and Microelectronics, Vol. II CTI Telecommunications & Information
/ Stjepan Golubić, Branko Mikac, Vlasta Hudek - Zagreb : Denona, 2010, 137-144
ISBN
978-953-233-052-6
Skup
MIPRO 2010
Mjesto i datum
Opatija, Hrvatska, 24.05.2010. - 28.05.2010
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Software quality; prediction techniques; fault free products; Quality of Service; SIX Sigma; statistical distribution; Weilbull
Sažetak
In this paper technical cost and financial inputs and outputs will be used as main parameters to propose theoretical model how and where should be main work focus to achieve best financial results. The Six-Sigma methodology was used to prove the models and concept. 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 using SIP as a call control protocol in the Ericsson Nikola Tesla R&D.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Elektrotehnika, Ekonomija
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Ekonomski fakultet, Split,
Ericsson Nikola Tesla d.d.
