ASPICE 4.0 - Automotive SPICE
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This course provides a comprehensive introduction to the Automotive SPICE (ASPICE) framework, a key standard for assessing and improving software development processes in the automotive industry. Participants will gain an understanding of the ASPICE model, including its structure, key processes, and assessment criteria with real world examples. You will be able to correlate with actual projects and understand in better way.
Key Topics Covered:
1. Overview of ASPICE and its relevance in the automotive industry.
2. Detailed understanding of the ASPICE Process Reference Model (PRM) and Process Assessment Model (PAM).
3. In-depth exploration of the key processes: Requirements Management, Design, Implementation, Testing, and more.
4. Understanding of process capability levels and how they impact software development.
5. Practical guidance on implementing ASPICE practices in real-world scenarios.
Learning Outcomes:
Develop a clear understanding of ASPICE and its application in automotive software development.
Identify and implement key processes to improve software quality and project outcomes.
Prepare for ASPICE assessments by understanding criteria and process expectations.
Target Audience: This course is designed for automotive software engineers, project managers, system engineers, requirement managers, Hardware engineers, Support process roles, of course quality assurance professionals, and anyone involved in the development and assessment of automotive software systems.
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32
SYS.1 Requirements Elicitation -
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SYS.1 Requirements Elicitation process_Assessment techniques
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34
SYS.2 System Requirements Analysis
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35
SYS.2 Assessment Example
You will be able to learn the Mock assessment for System requirements analysis process according to ASPICE.
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36
SYS3. System Architectural Design
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37
Sys4. System Integration and Integration Verification
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38
SYS5. System Verification
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39
System Test Cases or Verification measures using Microsoft Excel
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40
System Requirements Analysis -
41
System Architecture design
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42
System Verification
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43
System Integration and Integration verification
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44
SWE.1 Software Requirements Analysis
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45
SWE2. Software Architectural Design
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46
SWE3. Software Detailed Design and unit construction
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47
SWE4 Software Unit Verification
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48
SWE.5 Software Component Verification and Integration Verification
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49
SWE6. Software Verification
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50
Software Detailed Design and unit construction
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51
Software verification
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57
Machine Learning for Automotive Software Development
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58
Software Engineering and Machine Learning Integration
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59
Machine learning interdependency with SUP.11
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60
Machine learning Model within Electronic Control Unit
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61
MLE.1 Machine Learning Requirements Analysis
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62
MLE.2 Machine Learning Architecture
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63
MLE.3 Machine Learning Training_Intro
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64
MLE.3 Machine Learning Training
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65
MLE.4 Machine Learning Testing
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72
Software Quality Assurance Plan -Example
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73
SUP.1 Quality Assurance
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74
SUP.1 Quality Assurance_continue
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75
CM Plan Explained with Generic Template
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76
SUP.8 Configuration Management
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77
SUP.9 Problem Resolution Management
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78
Verification criteria
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79
System verification
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80
Software integration verification and validation
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81
SUP.10 Change request Management
