Quality System for Production Software as Tool for Monitoring and Improving Organization KPIs
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| Title | Quality System for Production Software as Tool for Monitoring and Improving Organization KPIs |
| Authors | |
| Abstract | In this paper we propose a solution as support for quality systems forproduction software. The motivation behind this study was to reduce that cost inthe production area caused by gaps in the quality of the production software. Ourproposal: QSPS (Quality System for Production Software) is offering support in the"vulnerable points" of these quality systems which usually generate nonconformitiesand have proved to be difficult or impossible to control. QSPS is a method in sevensteps or modules that integrates also software tools, templates, checklists, evaluatingtools elaborated complying to products, process and system quality standards.If other analyzed methods like: Scrum, XP, Fuzzy, Prompt, PTA, PRINCE2 or normslike: ISO 9001, ISO 9000-3, TickIT, CMM and CMMI, AQAP-110/AQAP-150, IEEE730/983 are working in a reactive way, after the developing phase was finished, QSPSis an active system, helping the software developer from the beginning of the implementationphase to improve the developing methodology and to fulfill the qualityrequirements.QSPS model was applied in one of the largest European automotive company, theresult being finalized in a practical approach of the QSPS, named QSMA − QualitySystem for Manufacturing Application.Using the QSMA (Quality System for the manufacturing application) for industrialprojects and not only therefore, has led to accurate running of the production linefrom beginning of the SOP (Start of Production).Once this system was implemented and the production software applications wererealized under the principles and rules of the QSMA, we defined strategically measurableKPIs (key performance indicators) out of the seven modules of the QSMA. ThisKPIs have the role to signal every time a production application has not the desiredquality level and presents a high level of risk that could cause additional costs in theproduction.Based on the KPIs evolution, the weaknesses in the software applications can be identifiedin real time, so that the developer can react immediately, before occurrence ofsubstantial damage. |
| Publisher | Agora University of Oradea |
| Date | 2013-02-18 |
| Source | International Journal of Computers Communications & Control Vol 8, No 2 (2013): INT J COMPUT COMMUN |
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