qualitics-ai 1.0.0

Intelligent AI agent for automated test gap analysis and quality intelligence

Qualitics AI

An intelligent AI agent for automated test gap analysis and quality intelligence.

Requirements

• Python 3.10+ (Recommended: Python 3.11 or 3.12)
• Modern operating systems (Linux, macOS, Windows)
• Git access to target repositories
• API access to bug tracking systems

Overview

Qualitics AI automates the comprehensive analysis of software quality by:

• Analyzing production bugs from multiple tracking systems (JIRA, Azure DevOps, GitHub Issues)
• Examining repository test infrastructure across platforms (GitHub, Azure Repos, GitLab)
• Identifying critical test coverage gaps using AI-powered pattern recognition
• Generating actionable test scenarios with developer-specific recommendations
• Producing professional reports for stakeholders and technical teams

Key Features

• Multi-Platform Integration: GitHub, Azure Repos, GitLab, Bitbucket
• Bug Tracking Systems: JIRA, Azure DevOps, GitHub Issues, ServiceNow
• AI-Powered Analysis: Pattern recognition, natural language processing
• Automated Report Generation: PDF, Confluence, Markdown, JSON formats
• Configurable Analysis: Customer-specific repository and bug tracking setups
• Developer-Centric Insights: Extract technical root causes from developer discussions

🚀 Quick Start

Installation

Option 1: PyPI Package (Recommended)

# Install from PyPI
pip install qualitics-ai

# Initialize configuration
qualitics init --output config/my_config.yaml

# Run analysis
qualitics analyze --config config/my_config.yaml

Option 2: Docker Container

# Create configuration directory
mkdir -p ./config ./reports

# Initialize configuration
docker run --rm -v $(pwd):/workspace ghcr.io/arpitkothari-hub/qualitics-ai:latest 
  qualitics init --output /workspace/config/my_config.yaml

# Run analysis
docker run --rm -v $(pwd):/workspace ghcr.io/arpitkothari-hub/qualitics-ai:latest 
  qualitics analyze --config /workspace/config/my_config.yaml

Option 3: Development Installation

# Clone the repository
git clone https://github.com/arpitkothari-hub/qualitics-ai.git
cd qualitics-ai

# Install in development mode
pip install -e .

# Run the analysis
qualitics-ai init --output config/my_config.yaml
qualitics-ai analyze --config config/my_config.yaml

Configuration

Qualitics AI is designed to be customer-configurable for different:

• Repository systems (GitHub, Azure Repos, GitLab)
• Bug tracking tools (JIRA, Azure DevOps, GitHub Issues)
• Analysis scope (time ranges, severity filters, component focus)
• Report formats and delivery methods

Architecture

• Core Engine: qualitics_ai/core/ - Main analysis logic
• Integrations: qualitics_ai/integrations/ - Repository and bug tracking connectors
• Analysis: qualitics_ai/analysis/ - AI-powered pattern recognition
• Reports: qualitics_ai/reports/ - Multi-format report generation
• Config: config/ - Customer configuration management

Development

# Setup development environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements-dev.txt

# Run tests
pytest

# Run linting
flake8 qualitics_ai/
black qualitics_ai/

# Type checking
mypy qualitics_ai/

License

Commercial software - All rights reserved.

Support

For enterprise support and custom configurations, contact: [e-mail]