Topic – Smart Test Failure Analysis with GenAI: Transforming Automated Testing Efficiency

Problem Statement:

Challenge: The Hidden Costs of Test Automation Maintenance

The hidden costs of test automation maintenance are eroding both team productivity and innovation capacity. In an era where speed and quality are paramount, time-consuming manual investigation and inefficient debugging processes hold back teams from delivering at their full potential

Current Pain Points:

• Manual Investigation Overload: Quality Engineers spend 20-25 hours per week manually investigating failures
• Exhaustive failure analysis and script re-runs: Teams spend significant amount their time re-running tests and analysing failures without conclusive results
• Redundant manual test execution: Multiple automated test failures require manual verification, creating duplicate work and delays
• Time-consuming code-level debugging: Engineers lose 25+ hours weekly debugging code to locate issues

Business Impact:

• Productivity Drain: Skilled engineers are tied up in repetitive troubleshooting instead of focusing on higher-value work
• Development Delays: Extended testing cycles slow down release velocity, delaying market entry
• Increased Costs: Time spent on unnecessary investigations leads to higher operational costs

Key Statistics Worth Highlighting:

• Engineering teams spend up to 30% of their time investigating test failures
• Manual troubleshooting can delay defect resolution by 2-3x
• Critical resources are diverted from strategic development initiatives

The Bottom Line:

Automation investment should accelerate delivery, not create bottlenecks. Traditional troubleshooting approaches are holding back team’s true potential and impacting time-to-market advantage.