Tricentis Quality Intelligence powered by SeaLights is a cutting-edge software quality analytics platform that revolutionizes the way development teams approach testing and quality assurance. This innovative solution provides deep insights into code changes, test coverage, and quality metrics in real-time, enabling organizations to optimize their testing processes and improve overall software delivery efficiency. By leveraging advanced analytics and machine learning algorithms, Quality Intelligence helps teams identify untested code, prioritize tests, and make data-driven decisions throughout the software development lifecycle. The platform seamlessly integrates with existing CI/CD pipelines and testing tools, offering a holistic view of the entire development process. With Quality Intelligence, organizations can significantly reduce the risk of releasing faulty code, accelerate release cycles, and minimize technical debt. The solution empowers teams to focus their testing efforts where they matter most, ensuring that critical areas of the application receive adequate coverage while optimizing resource allocation.

Key Features

Real-time Quality Analytics Provides comprehensive insights into code changes and test coverage

• Continuous monitoring of code changes and their impact on quality
• Detailed analytics on test coverage and effectiveness

Test Optimization Helps prioritize and optimize testing efforts

• Identifies untested code and areas requiring additional coverage
• Recommends test prioritization based on risk and impact

CI/CD Integration Seamlessly integrates with existing development pipelines

• Compatible with popular CI/CD tools and platforms
• Provides quality gates and feedback loops within the development process

Benefits

Improved Software Quality Enhances overall product quality and reliability

• Reduces the risk of releasing faulty code to production
• Ensures critical areas of the application receive adequate testing

Accelerated Release Cycles Speeds up the software delivery process

• Optimizes testing efforts to focus on high-impact areas
• Reduces time spent on unnecessary or redundant tests

Cost Reduction Lowers overall development and testing costs

• Minimizes resource allocation for testing low-risk areas
• Reduces the need for costly hotfixes and emergency patches