Case study: AI-Generated Test Cases for Automotive QA

Digital Transformation Solution & Consulting

CASE STUDY

AI-Generated Test Cases from Requirements with AroTrace

AI-Driven Verification Automation for Automotive Engineering

In the automotive industry, the verification and validation (V&V) phase often consumes a significant share of development time and resources. Creating AI-generated test cases that are accurate and traceable is both critical and labor-intensive. A global automotive supplier partnered with Arorian to deploy AroTrace and its AI automation layer, within their ALM environment, automating test generation without disrupting engineering workflows. The result: context-aware, high-quality test cases generated in seconds — improving traceability, consistency and automotive QA efficiency.

THE CHALLENGE

Manual Test Authoring Slows Verification and Reduces Consistency

Verification engineers faced the daily challenge of translating large volumes of diverse, inconsistently written requirements into usable test cases. Manual authoring consumed the majority of QA time and often produced inconsistent results.

Key pain points included:

1. Fragmented requirement formats

Requirements arrived in different styles and levels of detail (free text, templates, legacy items). Engineers spent significant time normalizing language and extracting intent before any test design could begin.

2. Loss of context between roles

Intent and nuance written by requirement authors were often lost during handovers to designers and testers, resulting in incomplete or misaligned test coverage.

3. High manual effort and low ROI from existing AI tools

Manual test authoring consumed 50–70% of QA effort. Commercial AI tools often generated hundreds of generic or irrelevant tests, leaving engineers with the tedious job of filtering and rewriting — increasing, not decreasing, workload.

The organization needed an approach that preserved engineering intent, produced the right test cases (not a flood of irrelevant ones) and worked inside existing tools and processes.

THE SOLUTION

Context-Aware Test Generation Embedded in Daily Workflows

Arorian implemented AroTrace to bring AI-assisted test generation into engineers’ everyday environment. AroTrace’s AI automation layer applied advanced natural language understanding to:

1

Intent-Aware Requirement Analysis

AroTrace reads each requirement and captures the underlying intent and scope, rather than relying on simple keywords, ensuring generated tests reflect the original engineering logic.

2

High-Quality Test Case Generation

Instead of flooding engineers with hundreds of generic tests, AroTrace generates a concise, relevant set of test cases aligned with company standards and templates.

3

Continuous Learning from Feedback

The AI learns from user edits and approvals, improving output quality over time without disrupting existing processes.

4

Seamless Integration with Existing Tools

Test cases appear directly in Codebeamer, ready for review, linking and approval, maintaining full traceability between requirements, design and validation artifacts.

THE OUTCOME

Smarter, Faster and More Traceable Validation

Within two weeks, test generation became a one-click operation. Engineers could generate, review and approve test cases directly inside Codebeamer, keeping full traceability between requirements, design and validation artifacts.

After a four-week pilot across two ECU programs (2,000+ requirements), the supplier achieved measurable improvements:

60% Reduction in Manual Test Authoring Time

Engineers spent far less effort on repetitive tasks, freeing capacity for refinement and analysis.

Improved Traceability and Coverage

Requirement-to-test links were automatically generated and kept up to date, ensuring visibility and audit readiness.

Seamless Workflow Adoption

Since test cases appeared inside the existing Codebeamer environment, engineers experienced zero disruption and adopted the solution quickly.

High Practical Quality

Generated test cases were immediately usable, typically requiring only minor contextual edits, allowing teams to focus on validation rather than recreation.

Start Your Proof of Concept with AroTrace

Validate how AroTrace can accelerate verification and improve quality in your engineering workflows. Experience AI-driven test generation that understands context, ensures traceability and delivers value from day one.

AI-Generated Test Cases for Automotive QA with AroTrace and AroAgent

DURATION

2–4 weeks, depending on scope and complexity

COMMITMENT

No obligation to continue if success criteria are not met

AGREEMENTS

NDA and Proof of Concept Statement of Work (SOW) signed prior to kickoff

SUPPORT

Full access to Arorian’s engineering and product teams throughout the POC

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ABOUT ARORIAN

Arorian is a global leader in providing digital solutions and services that drive transformation and growth for businesses across various industries. With a focus on innovation and excellence, Arorian delivers unparalleled value to its customers by harnessing the power of technology to solve complex challenges.

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