AI-Enhanced Testing for Creative Console Systems

AI-powered QA transformation, cutting testing time by 80% while boosting precision.

About project

Solution

AI-driven testing, Bug triage automation, Test coverage optimization

Technologies

DeepTriage, ChatGPT, Grammarly, Microsoft Power BI

Country

Finland

Industry

Technology

Project Duration

2 weeks

Team Composition

1 Senior QA Engineer

Challenge

Our client faced several testing bottlenecks, including duplicated bug entries, insufficient test coverage, and a lack of structured reporting. Security and data integrity concerns also emerged, as integrating AI into testing introduced potential vulnerabilities.

They also struggled with requirement testing, needing a more structured approach to user stories. The regression testing process involved pulling data from various sources, making report creation time-consuming and inefficient.

Solutions

We implemented a multi-tool AI strategy to address each testing challenge and broader business goals:

Bug triage automation. Deployed DeepTriage to eliminate duplicate bugs and automate assignment, significantly reducing manual triage time.

Enhanced test coverage. Used ChatGPT to generate comprehensive test cases from requirements, including edge cases often missed in manual testing.

Structured bug reporting. Applied ChatGPT to transform informal customer feedback into structured bug reports, maintaining consistency and clarity.

Requirements optimization. Combined ChatGPT and Grammarly to analyze and improve requirement quality, ensuring clear and actionable test cases.

Automated reporting. Implemented Power BI to consolidate test data from multiple sources, creating automated, insight-rich reports.

To ensure successful implementation, our team:

  • Established a dedicated team for continuous monitoring and adjustment of AI tools
  • Enforced strict security protocols and data encryption
  • Implemented validation techniques to mitigate false positives and negatives
  • Conducted compatibility testing for smooth AI tool integration
  • Provided training and documentation for the client’s team

Technologies

Our AI-powered testing suite focused on automating manual processes and improving accuracy across all testing phases.

  • DeepTriage
  • ChatGPT
  • Grammarly
  • Microsoft Power BI
  • Custom data anonymization tools

Types of testing

AI-assisted regression testing

Automated verification of existing functionality after changes.

Requirements-based testing

AI-powered analysis and verification of software requirements.

Bug triage automation

ML-driven classification and assignment of reported issue.

Automated reporting

Data-driven generation of comprehensive test reports.

Results

With our AI-driven approach, the testing process became significantly more efficient, supporting the client’s commitment to high-quality output. Key achievements included:

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80%

reduction in bug report creation time

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40%

increase in test case coverage

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90%

reduction in defect reoccurrence

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50%

improvement in spelling and grammatical accuracy in requirements

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30%

improvement in data visualization and reporting efficiency

Ready to transform your testing process with AI?

Contact our QA automation experts today!

    Bruce Manson

    Delivery Director

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