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How to improve software development process using mathematical models for quality prediction and elements of Six Sigma methodology (CROSBI ID 563678)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Sinovčić, Igor ; Hribar, Lovre 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

Podaci o odgovornosti

Sinovčić, Igor ; Hribar, Lovre

engleski

How to improve software development process using mathematical models for quality prediction and elements of Six Sigma methodology

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.

Software quality; prediction techniques; fault free products; Quality of Service; SIX Sigma; statistical distribution; Weilbull

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Podaci o prilogu

137-144.

2010.

objavljeno

Podaci o matičnoj publikaciji

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

978-953-233-052-6

Podaci o skupu

MIPRO 2010

ostalo

24.05.2010-28.05.2010

Opatija, Hrvatska

Povezanost rada

Elektrotehnika, Ekonomija, Matematika