How to Cite:
Bakiya Reddy Sami, "Unified Quality Excellence Framework Combining ASPICE, ISO 26262, CMMI, 8D Analysis, and Six Sigma for Automotive Software Engineering" International Journal of Machine Intelligence, Data Science and AI, Vol. 1, No. 1, pp. 29-38, 2026.

Abstract:
The automotive industry is undergoing a profound transformation driven by software-defined vehicles, autonomous driving capabilities, electrification, connected mobility, and over-the-air software updates. As software complexity increases exponentially, conventional quality assurance approaches are no longer sufficient to address the growing demands for functional safety, process maturity, defect prevention, regulatory compliance, and continuous improvement. Automotive organizations frequently implement multiple frameworks such as Automotive Software Process Improvement and Capability Determination (ASPICE), ISO 26262, Capability Maturity Model Integration (CMMI), Eight Disciplines (8D) problem-solving methodology, and Six Sigma independently, resulting in duplicated efforts, fragmented governance structures, increased compliance costs, and inconsistent quality outcomes. This study proposes a Unified Quality Excellence Framework (UQEF) that systematically integrates ASPICE, ISO 26262, CMMI, 8D analysis, and Six Sigma into a comprehensive quality management architecture for automotive software engineering. The proposed framework establishes an integrated lifecycle model that aligns process capability, functional safety, organizational maturity, defect containment, and statistical process optimization. A design science research methodology is employed to develop the framework through literature synthesis, standards mapping, process harmonization, and expert validation. The findings indicate that the proposed framework improves process traceability, reduces defect leakage, enhances safety compliance, strengthens root cause elimination, and supports continuous organizational improvement. Comparative analysis demonstrates that UQEF addresses critical integration gaps existing in standalone quality models and provides a practical roadmap for software-defined vehicle ecosystems. The framework is particularly relevant for organizations developing advanced driver assistance systems, autonomous driving functions, connected vehicle platforms, and safety-critical embedded software.
Keywords: Automotive Software Engineering, ASPICE, ISO 26262, CMMI, Six Sigma, 8D Analysis, Functional Safety, Software-Defined Vehicles, Process Improvement, Quality Excellence Framework.

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