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QA Testing Methodology is precisely defined at Span Solutions to ensure the correct definition of Testing solutions. Quality Assurance and Software Engineering are some of the key areas we focus on in the Software Development Life Cycle process, which is very crucial. Our comprehensive Methodology ensures thorough and effective QA Testing of the software products and applications.

At our centre of excellence software testers has an extensive experience in testing and holds different areas starting with easy single user applications and continuing with multifarious cross-platform applications.
Quality Assurance and testing ensures that the software is the best possible in its current form. Our software QA and Testing service consists of all the means of monitoring the software engineering processes and methods that ensure quality.
Our proven software testing methodologies gives us an edge by identifying the defects at the early phase of software development life cycle, which in turns reduces development cost, increase products superiority and effectiveness as well as client’s reputation.
Key Features of our Software testing services:
- World-class Infrastructure
- Certified Software Test Engineers
- Immense Knowledge of SDLC
- Proven Testing Methodology
- Access to Latest Cutting Edge Technologies
- Authoritarian Code Security Policy
- Transparent Reporting and Communication Process
Our Functional Testing Services Covers:
- Unit Testing
- Smoke testing / Sanity testing
- System & Integration Testing
- Usability Testing
- Regression Testing
- User Acceptance Testing
- Globalization Testing
- Exploratory Testing
Key Features of our Performance Testing Services:
- Flexible User Scenarios
- Dynamic Data Generation
- Load test up to 1000 users
- Real-world Load Simulation
- Distributed Load Testing
- Load Test Reports
Our dedicated team of skilled software testers and Quality Engineers provide a full range of quality assurance services, including test planning, test execution and reporting, control of software development processes. |