Comprehensive Software Test Automation Services
Overcome manual testing limitations with our automation services. Ensure consistent quality, comprehensive coverage, and faster release cycles. Integrate seamlessly with your CI/CD pipelines and empower your team to focus on innovation while we handle the rigorous testing process.
Expanding Automated Test Coverage isn’t Always Straightforward
When the road to comprehensive testing gets tough, technical debt piles up, and resources feel overburdened, remember you’re not facing it alone. We’re here with a blend of AI-driven tools and experienced test engineers, collaborating closely with your developers. Together, we’ll not only tackle your technical debt but ensure your software consistently surpasses quality benchmarks.
Traditional Software Test Automation
AI-augmented Software Test Automation
Beyond Just Testing: A Strategic Approach to Personalized Automation
We’re more than just a test automation company, we’re your strategic partner. Let us guide you in designing and executing the most effective test automation strategies tailored to your unique needs.
Custom Tool Selection
Ensure your system can handle growth by measuring its ability to...
Seamless Tool Integration
Make sure your software can handle the expected number of...
Robust Test Automation
Detect issues early in the development cycle, saving money by avoiding ...
Implement Best Practices
Identify and fix problems like memory leaks or high CPU usage to keep...
Framework Development
Find potential issues that could cause outages, ensuring your system...
Regression Testing
Ensure your system can handle growth by measuring its ability to...
In-depth Cycle Evaluation
Make sure your software can handle the expected number of...
Reporting & Metrics
Detect issues early in the development cycle, saving money by avoiding ...
Our Unique Frameworks
Traditional Test Automation Framework
Structured Execution: A systematic approach that guarantees exhaustive coverage of all software facets
In-depth Analyses: Draw insights from test results, pinpointing software issues early for efficient rectification
Consistent Performance: Achieve predictable outcomes through detailed scripting and careful execution
Traditional Test Automation Framework
Natural Language Understanding: Our AI’s ability to interpret complex requirements transforms them into actionable test scenarios
Iterative Learning: Continuous adaptation to your coding standards and methodologies, improving precision over time
AI-Enabled Test Script Generation: We utilize AI’s prowess to auto-convert test cases into executable automation scripts, amplifying productivity and efficiency while ensuring comprehensive and timely test deployments
Enhanced Reporting: Using natural language queries for intuitive reports, extracting data effectively for insightful decision-making
Framework Integration :
Comprehensive Test Automation Services
- Shared Object Repository: Centralize and manage your test objects effortlessly
- Common Libraries: Standardize your processes for streamlined testing
- Reusable Actions: Maximize efficiency with actions you can use across multiple tests
- Segregated Modules: Organize your tests with clear, isolated modules for better management
- Distinct Logic Segregation: Separate the framework and business logic, ensuring that changes in application workflows won’t affect framework libraries
- Automatic Framework Logic Implementation: Ensure consistent updates across application automation suites
- Customized Object Synchronization: Intelligent wait times tailored to your application’s needs
- Independent Test Scripts: Modular scripts that run independently, giving you flexibility and reliability
- Cross-Browser Testing: Ensure your application shines across all browsers
- Re-execution Logic: Smart mechanisms to retry and ensure the validity of failed tests
- Error Handling: Robust mechanisms to detect, handle, report, and mitigate unexpected errors or exceptions during testing and help avoid false positives
- Self-Healing Tests: By leveraging historical data and custom property weighting, our self-healing mechanism swiftly adapts to object property changes, intelligently assessing and updating tests in real time, promoting enhanced script reusability across various applications and environments
- Data-Driven Tests: Empower your tests with dynamic data sources for comprehensive coverage
- Visual Verification: Utilize tools like Applitools or computer vision techniques to validate applications’ visual aspects, ensuring they render correctly across various devices and resolutions.
- Parallel Execution: Speed up the testing process by running multiple tests simultaneously
- CI/CD Pipeline Integration: Seamlessly integrate with your continuous integration and deployment processes
- Cloud-Based Test Suites: Leverage the power of cloud computing for scalable, remote testing
- Global Parameters: Ensure consistent testing conditions regardless of where you’re testing
- Standard Naming Conventions: Keep things uniform and easy to identify
- Extensive, Customized and Intuitive Automation Execution Reporting: Deliver detailed and user-friendly reports, highlighting test outcomes, coverage, and areas of concern
- Full Commenting: Every step is documented for clarity and future reference
Frequently Asked Questions
The decision of which tests to automate depends on various factors, including the type of software being tested, the size and complexity of the software, and the desired outcome of the testing process.
However, as a general rule, automated testing services are best suited for:
- Repetitive tests
- Time-consuming tests
- Tests that are prone to human errors
- Tests that cannot be performed manually
- Test scenarios that should be tested on multiple data sets
- Tests must be tested on multiple environments, browsers, platforms, devices, etc.
- Web automation
- Android and iOS app automation
- Windows and MacOS app automation
- API automation
Traditional test automation relies on predefined scripts and frameworks to run tests. AI-augmented test automation combines the power of Generative Pre-trained Transformers (like GitHub CoPilot) with traditional testing. This synergy allows for dynamic test case generation and improved coverage.
Building a test suite with shared object repositories, reusable actions, standard naming conventions, full commenting, and independent test scripts is important to ensure that it is easy to maintain and extend. Moreover, incorporating features like parallel execution, cross-browser testing, and data-driven tests can further enhance the reliability and robustness of the suite.