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Nostradamus is an open source application for analyzing software defect reports extracted from bug tracking systems. The application uses Machine Learning techniques to determine important links between various defect attributes and generate certain bug metrics, such as the probability of:

• ❌ a bug being rejected;
• ✅ a bug being fixed, including time to resolve;
• 📝 a bug belonging to a specific area of testing.

Nostradamus also calculates various statistical data including distributions and values of aggregate functions and performs analysis of bug descriptions and, as a result, produces the following metrics:

• a list of the most frequently used terms;
• a list of the most significant words, etc.

This knowledge further allows to achieve various IT-related goals, e.g.:

• 📝 More accurate planning and goal setting for Project Managers;
• 📈 Improving the defect report quality for QA Engineers and Junior Analysts;
• 🔎 Discovering the dependencies hidden in development, for system architects and developers.