AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development

Authors

  • Mohamed Ali Shajahan Sr. Staff SW Engineer, Continental Automotive Systems Inc., Auburn Hills, MI 48326, USA
  • Nicholas Richardson Software Engineer, JPMorgan Chase, 10 S Dearborn St, Chicago, IL 60603, USA
  • Niravkumar Dhameliya PLC Programmer, Innovative Electronics Corporation, Pittsburgh, PA, USA
  • Bhavik Patel PCB Design Engineer, Innovative Electronics Corporation, Pittsburgh, PA, USA
  • Sunil Kumar Reddy Anumandla Software Engineer, Appsboat Inc., 27620 Farmington Rd ste b-9, Farmington Hills, MI 48334, USA
  • Vamsi Krishna Yarlagadda Software Developer Lead, Marvel Technologies, 28275 Telegraph Rd, Southfield, MI 48034, USA

DOI:

https://doi.org/10.18034/ei.v7i2.711

Keywords:

AUTOSAR, Stack Development, Embedded Systems, Automotive Software, Real-time Operating Systems

Abstract

This study aims to clarify the advantages, disadvantages, and implications of the AUTOSAR Classic and AUTOSAR Adaptive frameworks for stack development in the automotive software engineering domain. The study's primary goals are to examine the design concepts, performance traits, development processes, and implementation difficulties of the AUTOSAR Classic and AUTOSAR Adaptive frameworks. The methodology consists of a thorough literature evaluation, an analysis of market trends, a look at development workflows, and case studies highlighting implementation issues and their resolutions. The key findings show how the AUTOSAR Classic and AUTOSAR Adaptive frameworks differ in architecture, performance, resource usage, and development process. Recommendations for standardization, funding for education and training, R&D, and regulatory frameworks are among the policy implications that support the uptake and advancement of AUTOSAR technologies in automotive software engineering. This report is an invaluable resource for those involved in the automotive sector, legislators, and industry associations trying to make sense of the complicated world of stack development and mold the course of automotive software engineering.

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Published

2019-12-31

How to Cite

Shajahan, M. A., Richardson, N., Dhameliya, N., Patel, B., Anumandla, S. K. R., & Yarlagadda, V. K. (2019). AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development. Engineering International, 7(2), 161–178. https://doi.org/10.18034/ei.v7i2.711

Issue

Vol. 7 No. 2 (2019): July - December Issue

Section

Peer Reviewed Articles

License

Copyright (c) 2019 Mohamed Ali Shajahan, Nicholas Richardson, Niravkumar Dhameliya, Bhavik Patel, Sunil Kumar Reddy Anumandla, Vamsi Krishna Yarlagadda

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