Abstract
In recent years, the use of complex embedded systems in critical domains has become increasingly widespread, driven by the emergence of Industry 4.0, Smart Grid or Smart Health Care paradigms. These latest trends require the development of smart, innovative and dependable complex systems, that combine multiple engineering disciplines, to achieve their challenging goals. In order to assist developers, researchers and designers in this development process, this paper presents a iterative prototyping methodology focused on facing challenges derived from: (i) uncertainties and risks entailed while generating new products based on novel technologies, (ii) unforeseeable interactions intrinsic to system complexity and heterogeneity (e.g.: software, hardware, chemistry, photonics, mechanics, etc.), (iii) operation dependability and regulatory requirements, and (iv) increasing importance of reducing time to market and project cost. The proposed methodology provides a complete solution based on New Product Development processes, dependability and safety standards, and Statistical Process Control (SPC) and Key Performance Indicator (KPI) techniques. Special attention is paid to the adaptation and integration of SPC and KPI techniques in the development process, as a mechanism to improve the system’s functionality and dependability. Finally, the development of an innovative real-time photonic sensor for analysing lubricant quality in industrial critical applications is presented as a case study.
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López, P., Mabe, J., Etxeberria, L., Gorritxategi, E. (2018). Iterative Prototyping Methodology for the Development of Innovative and Dependable Complex Embedded Systems Through SPC&KPI Techniques. In: Kuhrmann, M., et al. Product-Focused Software Process Improvement. PROFES 2018. Lecture Notes in Computer Science(), vol 11271. Springer, Cham. https://doi.org/10.1007/978-3-030-03673-7_5
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