exactpro/nostradamus

🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.

41
/ 100
Emerging

This application helps software teams analyze past defect reports from bug tracking systems like Jira. It takes your existing bug data as input and uses machine learning to predict outcomes like a bug's rejection probability, time to fix, or its testing area. Project Managers, QA Engineers, and System Architects can use this to improve planning, report quality, and uncover hidden development dependencies.

No commits in the last 6 months.

Use this if you need to extract actionable insights from your bug tracking data to improve software development workflows and decision-making.

Not ideal if you do not have historical bug report data or if your primary need is for real-time bug detection rather than historical analysis.

software-quality defect-management project-planning qa-engineering bug-tracking
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

44

Forks

11

Language

TypeScript

License

Apache-2.0

Last pushed

Sep 13, 2022

Commits (30d)

0

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