📌 Project Overview
Objective: Develop a real-time test analysis dashboard that: - 📊 Monitors test execution trends across different environments. - 🔍 Identifies failure root causes and test dependencies. - 🧠 Prepares for AI-powered issue detection and prediction.
🔹 Enhancing Test Case Metadata
Since execution times differ across environments, we need to track & analyze variations:
| Field | Description |
|---|---|
| `environment` | `development`, `test`, or `production` |
| `average_duration_per_env` | Historical execution time per environment |
| `median_duration_per_env` | More robust than average execution time |
| `std_dev_duration_per_env` | Standard deviation for variance analysis |
| `execution_variance_score` | Score indicating abnormal variations |
📈 Advanced Test Duration Analysis
Instead of just using averages, we implement statistical measures:
- ✅ Median Execution Time (Less affected by outliers)
- ✅ Percentiles (P90, P95, P99) (Detect slowest executions)
- ✅ Standard Deviation (Measure stability & fluctuations)
🔎 Root Cause Detection Plan
This system automatically finds the origin of a failed test case:
- ✅ Log Analysis (Extract patterns like `"Invalid Login"`, `"Database Timeout"`, etc.)
- ✅ Failure Propagation (If Login API fails, dependent tests are blocked)
- ✅ Environment-Based Debugging (Compare staging vs. production failures)
- ✅ Historical Data Matching (Detect recurrent issues vs. new issues*
🛠️ AI-Powered Failure Detection (Future)
- 🧠 Pattern Recognition in Failures (AI clusters similar failure logs)
- ⏳ Predict Future Failures (Estimate which tests will fail based on past trends)
- 📜 Automatic Log Analysis (AI extracts failure causes from logs & provides recommendations)
📊 Final Roadmap
| Phase | Focus Area | Key Features |
|---|---|---|
| 📌 Phase 1 (Now) | Test Analysis & Root Cause Detection | Test Relationships, Logs, Median Duration, Failure Propagation |
| 📌 Phase 2 | Graphical Reports & Trends | Test Execution Graphs, Root Cause Graphs, Historical Failure Reports |
| 📌 Phase 3 | AI-Powered Testing | Pattern Recognition, AI Failure Prediction, Smart Log Analysis |
| 📌 Phase 4 | Development & Project Tracking | Git Integration, Developer Workload Analysis, CI/CD Optimization |
| 📌 Phase 5 | Business & Commercialization | Startup Funding, Selling, Consulting |
🚀 Immediate Next Steps
- ✅ Implement Test Case Relationships (Dependency tracking for failures)
- ✅ Enhance Root Cause Detection (Log pattern matching, recurrent issue tracking)
- ✅ Store & Compare Execution Times Across Environments