Quality System for Production Software as Tool for Monitoring and Improving Organization KPIs
Keywords:quality improvement, control, monitoring, efficiency, capability, performance, organization KPI (key performance indicator).
AbstractIn this paper we propose a solution as support for quality systems forÂ production software. The motivation behind this study was to reduce that cost inÂ the production area caused by gaps in the quality of the production software. OurÂ proposal: QSPS (Quality System for Production Software) is offering support in theÂ "vulnerable points" of these quality systems which usually generate nonconformitiesÂ and have proved to be difficult or impossible to control. QSPS is a method in sevenÂ steps or modules that integrates also software tools, templates, checklists, evaluatingÂ tools elaborated complying to products, process and system quality standards.Â If other analyzed methods like: Scrum, XP, Fuzzy, Prompt, PTA, PRINCE2 or normsÂ like: ISO 9001, ISO 9000-3, TickIT, CMM and CMMI, AQAP-110/AQAP-150, IEEEÂ 730/983 are working in a reactive way, after the developing phase was finished, QSPSÂ is an active system, helping the software developer from the beginning of the implementationÂ phase to improve the developing methodology and to fulfill the qualityÂ requirements.Â QSPS model was applied in one of the largest European automotive company, theÂ result being finalized in a practical approach of the QSPS, named QSMA âˆ’ QualityÂ System for Manufacturing Application.Â Using the QSMA (Quality System for the manufacturing application) for industrialÂ projects and not only therefore, has led to accurate running of the production lineÂ from beginning of the SOP (Start of Production).Â Once this system was implemented and the production software applications wereÂ realized under the principles and rules of the QSMA, we defined strategically measurableÂ KPIs (key performance indicators) out of the seven modules of the QSMA. ThisÂ KPIs have the role to signal every time a production application has not the desiredÂ quality level and presents a high level of risk that could cause additional costs in theÂ production.Â Based on the KPIs evolution, the weaknesses in the software applications can be identifiedÂ in real time, so that the developer can react immediately, before occurrence ofÂ substantial damage.
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