Decision Intelligence for Defect Detection and Failure Analysis
NexGenQE automatically captures defects during test execution with software defect tracking and complete evidence including logs, screenshots, and execution data. Built-in decision intelligence and failure analysis transform defects into actionable insights to identify patterns, prioritize fixes, and improve software quality faster.
Defect Detection - Without proper Root Cause Analysis
Modern teams perform defect detection but lack root cause analysis and failure analysis to understand why defects occur or how to prevent recurring issues.
Incomplete Defect Evidence
Failures without proper software defect tracking and defect tracking tools often lack proper logs, screenshots, and context, making failure analysis and debugging slow and inefficient.
Manual Defect Documentation
Manual defect management process forces teams to spend valuable time creating defect reports and attaching test evidence.
Delayed Root Cause Analysis
Without root cause identification and structured failure analysis, identifying the true cause of defects takes longer and delays resolution.
Fragmented Quality Insights
Fragmented software defect tracking and testing results across tools reduce visibility into quality trends and weaken decision intelligence technology insights.
Decision Intelligence That Understands Failures
Auto Defect Capture uses AI decision analytics to analyse failures and generate structured defect insights across executions.
Inputs
Decision intelligence and software defect tracking transform defect data into actionable insights, helping teams identify recurring failures, understand quality trends and improve release stability with stability monitoring.
Test execution logs
Screenshots and recordings
Application error traces
Historical defect data
AI Defect Analysis Engine
AI-powered decision intelligence technology analyzes failure signals from logs, screenshots, and execution data for defect classification, root cause analysis and identification of recurring patterns automatically.
Failure pattern recognition
Root cause classification models
Duplicate defect detection
Automated defect clustering
Outputs
Structured defect reports, failure insights, and analytics dashboards that provide clear visibility into defects, trends, and resolution priorities.
Auto-generated defect reports
Root cause insights
Failure trend analytics
Actionable debugging evidence
How It Works
From Failure Detection to Actionable Insight
Detect Failures Instantly
System captures failures automatically during test execution across environments.
Collect Debug Evidence
Logs, screenshots, stack traces, and execution details are captured automatically.
Analyze Defect Patterns
AI analyzes failures to detect patterns and identify probable root causes.
Deliver Actionable Insights
Dashboards provide defect analytics, trends, and resolution insights.
Detect Failures Instantly
System captures failures automatically during test execution across environments.
Collect Debug Evidence
Logs, screenshots, stack traces, and execution details are captured automatically.
Analyze Defect Patterns
AI analyzes failures to detect patterns and identify probable root causes.
Deliver Actionable Insights
Dashboards provide defect analytics, trends, and resolution insights.
Let's Get In Touch.
Connect, collaborate, and achieve more with a platform designed to bring your team together.