Introduction In today’s rapidly evolving automotive industry, software complexity has surged with the demand for advanced driver assistance systems (ADAS), autonomous features, and over-the-air (OTA) updates. To manage this growing complexity while ensuring interoperability and standardization, the industry relies on AUTOSAR (AUTomotive Open System ARchitecture), a worldwide development partnership that defines a standardized automotive software […]
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Efficient Configuration Management of Automotive Software
As modern vehicles become increasingly software-defined, the need for robust and efficient configuration management in automotive software has never been more critical. With the rise of electric and autonomous vehicles, the automotive industry faces growing complexity in managing software across Electronic Control Units (ECUs), embedded systems, and Over-the-Air (OTA) update cycles. Automotive Configuration Management ensures […]
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End-of-Life (EOL) Vehicle
Introduction An End-of-Life Vehicle (EOL Vehicle) refers to any car or vehicle that has reached the end of its useful life due to age, damage, or mechanical failure. As millions of vehicles are decommissioned globally each year, the need for sustainable vehicle disposal and automotive recycling has never been more urgent. Improper handling of these […]
Automotive Cybersecurity for ECUs & In-Vehicle Networks
Introduction As vehicles become increasingly connected and software-driven, automotive cybersecurity has emerged as a critical priority. Modern cars contain over 100 Electronic Control Units (ECUs) and rely on complex in-vehicle networks such as CAN Bus and Automotive Ethernet to manage everything from braking and steering to infotainment and telematics. This digital transformation, while enabling innovation, […]
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Threat Modeling for Automotive Security Analysis
Introduction As modern vehicles evolve into complex, software-driven, connected systems, the attack surface for cyber threats is expanding rapidly. From autonomous driving features and over-the-air updates to vehicle-to-everything (V2X) communications, the automotive industry is facing an urgent need to implement robust cybersecurity strategies. Threat modeling for automotive security analysis plays a critical role in identifying, […]
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Vehicle and Fleet Lifecycle Management
Introduction In today’s fast-paced logistics and transportation industries, effective vehicle and fleet lifecycle management is critical for minimizing costs, maximizing asset performance, and ensuring operational efficiency. From acquisition to retirement, managing every stage of a fleet’s lifecycle helps organizations reduce downtime, extend vehicle longevity, and optimize resource allocation. This guide explores the entire fleet lifecycle […]
UL 4600: Autonomous Vehicle Safety Standard
Introduction As autonomous driving technology continues to evolve, ensuring the safety of self-driving vehicles has become a critical challenge. To address this, UL 4600, the Autonomous Vehicle Safety Standard, was developed as a comprehensive framework for evaluating and demonstrating the safety of autonomous driving systems. Unlike traditional automotive safety standards, UL 4600 focuses on vehicles […]
Comprehensive Application Lifecycle Management (ALM) Glossary
Here is a comprehensive glossary of terms related to Application Lifecycle Management (ALM) and associated domains. S.No. Abbreviation Term Definition – Acceptance Criteria Conditions that a product or system must meet to be accepted by the customer or stakeholder. ALM Application Lifecycle Management The management of an application’s lifecycle from inception through retirement, covering requirements, […]
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10 Best FMEA Software for Risk Analysis in 2025
Introduction In today’s fast-paced engineering and manufacturing environments, mitigating risks early in the design and development phases is no longer optional; it’s essential. Failure Modes and Effects Analysis (FMEA) has become a cornerstone of proactive risk management across industries. But as systems grow in complexity, traditional spreadsheets and manual processes fall short. That’s where modern […]
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Artificial Intelligence (AI) in Model-Based Systems Engineering (MBSE)
Artificial Intelligence (AI) is rapidly gaining prominence in the world of engineering and systems design, and it has the potential to revolutionize the way we approach Model-Based Systems Engineering (MBSE). By leveraging AI technologies, we can improve the efficiency and effectiveness of our systems engineering processes, and ultimately deliver better, more resilient systems. This article […]
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