Case studies
Concerned about security risks in your healthcare application? This case study dives into how Mohs10 secured a leading platform, safeguarding sensitive patient data and ensuring the integrity of medical research. We’ll reveal the critical vulnerabilities identified through a strategic security assessment and how they were addressed to build trust and accelerate medical breakthroughs.
Learn how we implemented performance testing using LoadRunner for an online reservation platform. Explore best practices, strategies, and remarkable results achieved in system performance, scalability, and user capacity. Gain valuable insights into your application’s performance and identify areas for improvement
Our client owns a food delivery service that lets users purchase food from different eateries in their area. Users have given the app positive feedback, but before making it available in more places, our company proposed a comprehensive mobile testing strategy that includes manual and automated testing on various devices and platforms to make sure it is running smoothly across devices.
Explore how a healthcare app’s APIs, which enables users to schedule appointments, access medical records, and receive notifications relating to their health, was tested using Postman. This case study highlights the value of API testing for healthcare apps and how it affects the functionality and user experience of the app
Is your e-commerce application facing bugs that hurt sales? Manual testing can be time-consuming and prone to errors. Mohs10’s Selenium-based hybrid framework and CI/CD pipeline can help you reduce automation effort by ~25%, freeing up your team to focus on other critical tasks. Additionally, our approach has eliminated ~20% more post-production defects, ensuring a smoother customer experience.
Have you ever wondered how e-commerce giants ensure their platforms can handle peak traffic? This case-study unveils a powerful approach to software performance testing, considering the entire system architecture. Through a real-world case study, it demonstrates how this approach was successfully applied to test the performance of a large-scale e-commerce system used in a commercial environment
Is your AI application struggling with reliability, explainability, or security vulnerabilities? You’re not alone. Many AI-powered apps, like yours using image recognition, face these challenges. This case study discusses the comprehensive series of tests we conducted across various areas to strengthen the app’s overall responsibility, reliability, and robustness. This rigorous testing process yielded valuable insights into the model’s functionality and led to a 12% performance improvement.
Developing an AI-powered background removal application sounds impressive! However, frequent testing with every new iteration can be a major bottleneck, especially with traditional manual testing methods. We helped our client by integrating automated testing into their CI/CD pipeline which allowed them bugs are caught early and the development process remains smooth.
