Comprehensive Data and Traceability Model for AIAG–VDA FMEA in Polarion ALM with Nextedy Risksheet

Purpose: Define the data model, traceability logic, and rationale behind the AIAG–VDA FMEA Powersheet configuration in Polarion ALM.

1. Introduction

The AIAG–VDA FMEA Handbook establishes a harmonized methodology to analyze risk within design and process development.

To realize its full traceability potential inside Polarion ALM, each step of the FMEA must be expressed as structured data and directional relationships between work items.

Within Polarion ALM, this model is realized through Nextedy Risksheet, a Polarion-integrated application for functional safety and risk management.

Nextedy Risksheet provides the spreadsheet-style interface, work item types, and linking logic described below, allowing engineers to apply the AIAG–VDA approach natively within Polarion without coding or external templates.

This paper documents the complete Polarion configuration—from Structure Analysis (Step 2) to Optimization (Step 6)—and justifies each link, field, and column in accordance with the standard.

2. Overall Concept

Each Risk Record in Polarion represents a single FMEA line (i.e., one row of the FMEA form):

a combination of the Focus Element, its Function, Failure Mode, Cause, Effect, and associated controls and actions.

The model connects four main information domains:

Domain

Represented by

Polarion Work Item Type

Purpose

Structure

System Elements & Characteristics

systemelement, characteristic

Hierarchical product structure

Function

Functional intent of each element

function

What the element does or shall do

Risk

Analysis records per failure

riskrecord

Captures failure modes, effects, causes, and ratings

Optimization

Actions and Verification loop

task, requirement, testcase

Defines mitigations and evidence of effectiveness

2.1 Implementation in Nextedy Risksheet

The model described in this paper is implemented directly inside Nextedy Risksheet for Polarion.

  • a configurable Powersheet interface to display the FMEA structure (Steps 2–6),

  • editable and read-only columns mapped to Polarion fields and link roles,

  • automatic color-coded Action Priority formulas, and

  • native links to Tasks, Requirements, and Test Cases as described in this paper.

This ensures full compliance with the AIAG–VDA FMEA workflow, while maintaining the flexibility of Polarion work item types and traceability.

3. AIAG–VDA Step Mapping to Polarion Data Model

AIAG–VDA Step

Objective

Polarion Entity

Key Relationships

Step 2 – Structure Analysis

Define hierarchy of system elements and characteristics

System Element, Characteristic

System Element → contains → System Element ; System Element → has_feature → Characteristic

Step 3 – Function Analysis

Define functions and interdependencies

Function

System Element → defines → Function

Step 4 – Failure Analysis

Identify effects, modes, and causes

Risk Record

links to System Element, Function, Characteristic

Step 5 – Risk Analysis

Evaluate S/O/D and Action Priority (AP)

Risk Record fields (cf_ …)

Internal fields compute AP

Step 6 – Optimization

Define Actions and verify effectiveness

Task, Requirement, Test Case

Task → mitigates → Risk Record; Requirement → relates_to → Task; Test Case → relates_to → Requirement

4. Column-by-Column Definition and Justification

🟣 STRUCTURE ANALYSIS (STEP 2)

Column

Meaning

Editable?

Polarion Link / Field

Reason per AIAG–VDA

1. Next Higher Level

Parent element containing the Focus Element

❌ Read-only (via link role parent)

Shows hierarchical context of analysis (§6.2.1)


2. Focus Element

Element currently analyzed

✅ (Risk Record → context → System Element)

Central anchor for the row; defines scope of failure analysis


3. Next Lower Level / Characteristic Type

Direct or indirect child element or feature affecting the Focus Element

✅ (Risk Record → characteristic → System Element/Characteristic)

AIAG–VDA permits “dependent structures” — not only immediate children (§6.2.2); represents dependencies one or two levels below.


Comprehensive Data and Traceability Model for AIAG–VDA FMEA in Polarion ALM with Nextedy Risksheet — figure 1

🟢 FUNCTION ANALYSIS (STEP 3)

Column

Meaning

Editable?

Link or Field

Rationale

1. Next Higher Level Function and Requirement

Function(s) of parent element

❌ Read-only (derived via parent’s defines)

Supports top-down traceability between levels (§6.3.1)


2. Focus Element Function and Requirement

Function performed by the Focus Element

✅ (Risk Record → function → Function)

Core function evaluated for failure modes (§6.3.2)


3. Next Lower Level Function and Requirement or Characteristic

Function or requirement of linked lower element / characteristic

❌ Read-only (derived from characteristic target’s backlinks)

Connects functional dependence to lower-level features (§6.3.3). Empty if target is Characteristic.


Comprehensive Data and Traceability Model for AIAG–VDA FMEA in Polarion ALM with Nextedy Risksheet — figure 2

🔴 FAILURE ANALYSIS (STEP 4)

Column

Meaning

Editable?

Field

Justification

Failure Effect (FE)

Consequence to higher level or end user

cf_failure_effect

AIAG–VDA Step 4 requires link to “next higher function” (§6.4.1).

Severity (S)

Rating of effect seriousness (1–10)

cf_severity

Standard severity scale.

Failure Mode (FM)

How the Focus Element fails

cf_failure_mode

Central to Risk Record definition (§6.4.2).

Failure Cause (FC)

Root cause at next lower level or feature

cf_failure_cause

Enables bottom-up cause analysis (§6.4.3).

Comprehensive Data and Traceability Model for AIAG–VDA FMEA in Polarion ALM with Nextedy Risksheet — figure 3

🟡 RISK ANALYSIS (STEP 5)

Column

Meaning

Editable?

Field

Reason per AIAG–VDA

Prevention Control (PC)

Existing measure to prevent cause

cf_prevention_control

Prevention is assessed first (§6.5.2).

Occurrence (O)

Likelihood of cause occurring

cf_occurrence

Rated 1–10 per handbook table.

Detection Control (DC)

Existing control to detect cause or failure mode

cf_detection_control

Distinguishes between PC and DC (§6.5.3).

Detection (D)

Detection rating (1–10)

cf_detection

Numeric assessment for DC effectiveness.

Action Priority (AP)

Calculated priority (Low/Middle/High)

⚙️ Auto-computed via formula

Required output of AIAG–VDA Step 5 (AP replaces RPN).


Comprehensive Data and Traceability Model for AIAG–VDA FMEA in Polarion ALM with Nextedy Risksheet — figure 4

🔵 OPTIMIZATION (STEP 6)

Column

Meaning

Editable?

Link Direction

AIAG–VDA Justification

Task ID / Title

Mitigation Action defined to reduce risk

Task → Risk Record (mitigates)

Step 6 defines Actions that address causes and reduce risk (§6.6.1). Action owns the mitigation.

Action Type / Responsible / Dates / Status

Execution fields of the Action

Task fields

Support planning and tracking of mitigation execution.

Requirements

Requirements resulting from completed Actions

Requirement → Task (relates_to)

Step 6 demands “implementation and verification of actions” — the result becomes a new requirement (§6.6.2).

Req Verification

Verification evidence (Test Cases) confirming those Requirements

Test Case → Requirement (relates_to)

Step 6 and 7 require proof of effectiveness (§6.6.3). Test Cases own the verification link.

New S/O/D & New AP

Re-evaluation after Action closure

✅ (fields + formula)

Represents the “residual risk” per AIAG–VDA Table 6-8.

Comprehensive Data and Traceability Model for AIAG–VDA FMEA in Polarion ALM with Nextedy Risksheet — figure 5

5. Directionality and Ownership Rationale

Relationship

Direction

Reason for Direction Choice

Task → Risk Record

Action mitigates risk

The Action is the active entity executing mitigation; Risk is the object of mitigation.

Requirement → Task

Requirement relates_to the Action that produced it

Requirement is the result of Action execution, not its sub-task. Keeps Requirement independent and reusable.

Test Case → Requirement

Test Case relates_to Requirement

Verification objects always point to the specification they verify. Consistent with ISO 15288 and AIAG–VDA verification principles.

This directionality ensures correct data lineage:

It expresses the lifecycle: Identify → Act → Define → Verify.

In Nextedy Risksheet, these relationships are automatically established by link-role configuration and displayed dynamically in the Powersheet columns. Users can manage all AIAG–VDA linkages interactively without scripting or manual maintenance.

6. Compliance with AIAG–VDA Principles

Principle

Implementation in Polarion

Top-Down Structure → Bottom-Up Failure

Parent/child links between System Elements and Functions mirror hierarchical decomposition (§6.2–6.3).

Linkage of Function and Failure

Each Risk Record connects Focus Element Function with its Failure Mode (§6.4).

Action Planning and Tracking

Step 6 columns map to Action responsibility, status, and timing (§6.6).

Verification of Effectiveness

Requirements and Test Cases close the loop of evidence (§6.7).

Residual Risk Evaluation

New S/O/D and AP fields support final assessment (§6.8).

7. Benefits of This Representation

Benefit

Description

Full Traceability

Every failure mode is connected upstream to its structure and function and downstream to its verified mitigation.

AIAG–VDA Compliance

All mandatory steps and relationships are covered in logical sequence.

Audit Readiness

Inspectors can trace from risk to verification evidence without manual cross-reference.

Reuse and Scalability

Functions, Requirements, and Tests are independent work items usable in other contexts.

Automation Potential

Computed Action Priority and visual color coding support automatic risk ranking and dashboards.

8. Conclusion

This Polarion configuration implements the AIAG–VDA FMEA handbook’s complete logic chain inside a traceable, data-driven model.

The chosen link directions reflect the true ownership of actions, requirements, and evidence as prescribed by the standard:

Cause → Action → Requirement → Verification

The model ensures that every risk record is not only analyzed and rated but also supported by a closed loop of mitigation and proof of effectiveness, making it both methodologically sound and audit-ready.

9. Nextedy Risksheet and Polarion Integration

Nextedy Risksheet acts as the operational layer implementing this FMEA model within Polarion ALM.

  • It provides preconfigured work item types and relationships for System Elements, Functions, Risk Records, Actions, Requirements, and Test Cases.

  • All columns described above correspond directly to configurable Risksheet columns and link renderers.

  • Users can modify field bindings, rating formulas, and color codings without code changes.

This architecture makes Risksheet the foundation for applying AIAG–VDA-compliant risk management in functional safety, cybersecurity, and process quality domains directly inside Polarion.

Appendix A – Simplified Diagram of Link Flow

Final Statement:

This FMEA model represents a fully compliant AIAG–VDA implementation inside Polarion ALM.

It connects structure, function, failure, and optimization data into a single, traceable, and verifiable ecosystem, ensuring that every risk is analyzed, acted upon, and proven effective in line with international best practice.