Transforming Digital Experiences with Quality Engineering
Empower your business with AI-driven testing solutions and comprehensive domain expertise. Revolutionize your SDLC with intelligent, tailored strategies designed to deliver exceptional digital experiences.
Overview
Capabilities
Services
Types of Testing
Starter Kit
The Need
Reasons to Choose
Bridge Quality Gaps Across All Domains
According to Forrester, integrating AI into quality engineering can lead to a 40% reduction in testing time and a 30% increase in defect detection accuracy.
Prolifics AI-driven test automation reduces manual testing efforts by 60%, enabling faster release cycles and a quicker time-to-market.
Our advanced AI algorithms increase test coverage by 50%, ensuring comprehensive testing and higher software quality.
Prolifics self-healing test scripts reduce maintenance efforts by 40%, lowering overall QA costs and improving efficiency.
Our Key Capabilities
AI-Driven Test Automation
Utilizing AI to create and execute test cases, reducing human error and increasing coverage.
Predictive Analytics
Leveraging data analytics to predict potential failures and address them proactively
Continuous Testing
Implementing continuous integration and delivery pipelines to ensure seamless and ongoing testing.
Self-Healing Test Scripts
AI-enabled scripts that automatically adapt to changes in the application, reducing maintenance efforts.
Related Quality Engineering Offerings
Unlock the full potential of your data with our bespoke quality engineering services.
Consulting Services
Expert guidance to define and implement your data strategy.
Implementation Services
Seamless deployment of data solutions tailored to your needs.
Managed Services
Ongoing support and optimization to ensure continuous value delivery.
Comprehensive Quality Engineering & Test Automation
Overview
Ensures software functionalities meet requirements.
Key Techniques:
- Unit Testing
- Integration Testing
- System Testing
Outcome:
Enhanced reliability and user satisfaction.
Overview
Evaluates system performance under various conditions.
Key Techniques:
- Load Testing
- Stress Testing
- Endurance Testing
Outcome:
Optimized performance and user experience.
Overview
Identifies vulnerabilities to ensure data protection.
Key Techniques:
- Penetration Testing
- Vulnerability Testing
- Security Testing
Outcome:
Improved security and compliance.
Overview
Ensures application is user-friendly.
Key Techniques:
- User Interface Testing
- User Experience Testing
Outcome:
Higher user engagement.
Overview
Ensures new changes don’t affect existing functionalities.
Key Techniques:
- Automated Regression Testing
- Manual Regression Testing
Outcome:
Consistent quality across updates.
Functional Testing
Overview
Ensures software functionalities meet requirements.
Key Techniques:
- Unit Testing
- Integration Testing
- System Testing
Outcome:
Enhanced reliability and user satisfaction.
Performance Testing
Overview
Evaluates system performance under various conditions.
Key Techniques:
- Load Testing
- Stress Testing
- Endurance Testing
Outcome:
Optimized performance and user experience.
Security Testing
Overview
Identifies vulnerabilities to ensure data protection.
Key Techniques:
- Penetration Testing
- Vulnerability Testing
- Security Testing
Outcome:
Improved security and compliance.
Usability Testing
Overview
Ensures application is user-friendly.
Key Techniques:
- User Interface Testing
- User Experience Testing
Outcome:
Higher user engagement.
Regression Testing
Overview
Ensures new changes don’t affect existing functionalities.
Key Techniques:
- Automated Regression Testing
- Manual Regression Testing
Outcome:
Consistent quality across updates.
Ensure excellence with AI-driven Quality Engineering for seamless, reliable, and high-performing applications.
Continuous Integration & Continuous Testing (CI/CT)
Integrates automated testing into development.
Key Techniques:
- Automated Build Verification
- Continuous Deployment Testing
Outcome:
Faster release cycles.
AI-Powered Test Automation
Uses AI for test case generation, execution, and maintenance.
Key Techniques:
- Self-Healing Test Scripts
- Predictive Analysis
Outcome:
Increased accuracy and efficiency.
Robotic Process Automation (RPA) in Testing
Automates repetitive tasks with RPA tools.
Key Techniques:
- Automated Data Entry
- Automated Test Execution
Outcome:
Enhanced productivity.
Signs Your Organization Needs Quality Engineering
Why to Choose Prolifics as Your Quality Engineering Partner
