Testing for educational platform

about company 

EduSparkle offers interactive language and science learning platforms that make learning fun and effective. They use gamification and AI to improve learning outcomes. 

before 

Before our team joined, the education platform EduSparkle faced scalability issues and frequent software bugs due to sub-optimal architecture and a lack of automated testing processes. 

challenges and solutions 

Luxe Quality provided a QA architect, an AQA engineer, and a PM to address the customer's challenges in improving and optimizing the architecture and development processes: 

technologies, tools, and approaches 

The team used various modern technologies, tools, and methodologies for the project to optimize development and ensure a high-quality platform. The architecture and testing utilized cloud technologies to improve scalability and performance, and microservice architecture was used to ensure agile development. Key tools included: 

• Cypress and TestCafe: For automated test frameworks. 
• Jenkins: For continuous integration and delivery (CI/CD) systems. 
• Python and JavaScript: For developing complex automation scripts. 
• Agile and Scrum: For enhanced team coordination and adaptability. 
• JIRA: For effective task tracking. 
• Confluence: For comprehensive documentation. 

features of the project 

The project featured our team, who made valuable contributions. Here is a list of their most outstanding achievements:  

1. The QA architect built a microservices-based testing architecture and used cloud technologies to efficiently handle increased user traffic and data.  
2. AQA Engineer implemented a robust automated testing framework using tools such as Cypress and TestCafe. This framework covers integration, load, and functional testing, significantly reducing errors and speeding up release cycles.  
3. Working closely with developers, the QA team has developed specialised testing protocols for the platform's artificial intelligence features. This includes regression testing, performance benchmarking, and validation of AI algorithms to ensure that personalized learning mechanisms function accurately.
4. As the platform evolved, the testing team implemented strict security protocols, including data encryption and regular security audits. 

results 

The results were impressive and had a substantial impact on both the platform's efficiency and customer satisfaction: 

• 60% reduction in production errors within six months.  
• 200 test cases automated to cover critical features based on user needs.  
• 50% reduction in user-reported issues with new real-time tracking system.  
• 40% reduction in app load times to improve user experience during peak periods.  
• 80% reduction in system downtime by implementing a more reliable and scalable architecture.