ASPICE V4.0 PAM

Name: ASPICE V4.0 PAM
Rating: 4.0 (10 reviews)

ASPICE Framework processes sequence explanation and base practices implementation for automotive enthusiasts

Created byMohamed Ahmed Hesham

Last updated 3/2025

English

What you'll learn

Enriching knowledge about ASPICE about ASPICE process assessment model
Explaining ASPICE different areas implementation sequence
Explaning AI/ML areas newly added to ASPICE
Preparing learners to gaib knowledge about differences between ASPICE V4.0 and old versions
Help learners to know about different parts of any ASPICE area
Enhancing knowledge about tracability model in ASPICE

Course content

7 sections • 26 lectures • 6h 27m total length

ASPICE PAM Introduction4:46
ASPICE V4.0 Changes from v3.1 PAM9:30

SYS.1: Requirements Elicitation8:13
Explain requirements elicitation between supplier and customer in the V model, covering gathering, analysis, baselining, change requests, and a defined supplier–customer communication for deliverables and milestones.
SYS.2: System Requirements Analysis14:30
SYS.3: System Architectural Design22:23
Translate sis two requirements into a complete system architecture with static and dynamic aspects, internal and external interfaces, timing, and data flow.
SYS.4: System Integration and Integration Verification13:34
SYS.5: System Verification10:09
ASPICE V4.0 Systems Engineering Quiz

SWE.1: Software Requirements Analysis11:13
SWE.2: Software Architectural Design12:15
SWE.3: Software Detailed Design and Unit Construction16:31
SWE.4: Software Unit Verification12:22
Master verification in SWE.4 by aligning design to source, using static code analysis, MISRA, code reviews, regression testing, with bidirectional traceability between three four test cases and three three requirements.
SWE.5: Software Component Verification15:07
SWE.6: Software Verification12:31
ASPICE V4.0 Software Engineering Quiz

MLE.1: Machine Learning Requirements Analysis17:33
Learn how machine learning fits into the V-model, with requirements analysis for data, models, and interfaces, including traceability, verification, and risk reduction.
MLE.2: Machine Learning Architecture22:44
Define a scalable machine learning architecture linking data processing, feature engineering, model training, and inference. Align interfaces and hyperparameters with resource targets to ensure maintainability and bidirectional traceability.
MLE.3: Machine Learning Training16:58
MLE.4: Machine Learning Model Testing19:38
ASPICE V4.0 Machine Learning Engineering Quiz

SUP.1: Quality Assurance14:41
Ensure independent quality assurance defines standards and a quality schedule, conducts audits and process reviews, tracks nonconformances to drive corrective actions, escalates unresolved issues, and provides transparent reporting.
SUP.8: Configuration Management20:46
SUP.9: Problem Resolution Management15:49
SUP.10: Change Request Management15:15
ASPICE V4.0 Supporting Processes Quiz

Requirements

Embedded systems
Automtive knowledge
Software knowledge
Testing knowledge

Description

This ASPICE V4.0 course provides a comprehensive understanding of the Automotive SPICE framework for assessing and improving software and system development processes in the automotive sector. Participants will explore key process groups, including System Engineering, Software Engineering, Hardware Engineering, and Supporting Processes. The course covers essential topics like MAN.3 Project Management, SUP.1 Quality Assurance, and ML Core Processes for machine learning integration,

ASPICE V4.0 introduces updated guidelines, base practices, outcomes, artifacts, items, activities and improved process structures, making it crucial for professionals involved in automotive development projects.

Learners will gain insights, experience and structured thinking into implementing ASPICE V4.0 best practices to enhance product quality, improve traceability, and meet automotive industry standards. Ideal for engineers, project managers, and quality professionals.

participants will learn how to apply ASPICE practices to improve development efficiency, enhance product quality, and ensure compliance with industry standards.

This course is ideal for engineers, project managers, quality professionals, and team leads seeking to adopt best practices for software and system development. By the end of the program, participants will have the knowledge and practical skills to implement ASPICE V4.0 processes effectively, improving project outcomes and ensuring alignment with automotive industry expectations.

Who this course is for:

Automotive learners
Software learnres
System engineering
Hardware engineering
Machine learning

ASPICE V4.0 PAM

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 14min

Systems Engineering processes5 lectures • 1hr 9min

Software Engineering processes6 lectures • 1hr 20min

Hardware Engineering processes4 lectures • 56min

Machine Learning Engineering processes4 lectures • 1hr 17min

Supporting processes4 lectures • 1hr 7min

Management processes1 lecture • 25min

Requirements

Description

Who this course is for: