Piyushkumar Patel

Client:

Our client, a global leader in crop nutrition and environmental solutions, developed a loyalty-based crop nutrition mobile application to engage customers and promote their products.

Challenges:

• Ensuring error-free mobile ordering, accurate feature functionality, and compatibility across various operating system versions presented challenges. – Compatibility across multiple app versions posed complexities, especially with new feature additions and legacy versions.

Solution:

• Tests were conducted on diverse devices and OS versions to validate feature accuracy and recommendation precision. Precautions were taken for build installation, app versions, device types, and OS compatibility.
• Performed Alpha and Beta Testing.

Benefits:

Compatibility: Testing across diverse devices ensured consistent performance and experience across platforms and versions.
Reliability and Stability: Thorough testing enhanced application stability, reducing crashes and unexpected behavior.

Conclusion:

Functional testing ensured the crop nutrition mobile application's reliability, accuracy, and seamless user experience. Our comprehensive testing approach validated the application, delivering a high-quality solution for the client.

Client:

Our client, a U.S.-based medical staffing services company, required a robust test automation framework compatible with various browsers and platforms for their web application.

Challenges:

Manual testing constraints led to time limitations, potential errors, and scalability issues. The complex interface demanded thorough testing across browsers and devices.

Solution:

We chose Selenium, Appium, C#, and HTTP Client because they are open-source and compatible with multiple browsers and platforms.

Benefits:

Improved Efficiency: Automation reduced manual testing efforts, allowing focus on intricate scenarios.
Enhanced Test Coverage: Simultaneous testing across browsers, devices, and OS broadened coverage.
Early Bug Detection: Regular automated tests facilitated early bug detection and minimized fixing efforts.
Regression Testing: Quick and reliable regression testing post-update ensured stability.

Conclusion:

UI test automation significantly improved testing efficiency, coverage, and bug detection for the medical staffing web application, contributing to its success and satisfaction.

Customer:

Our client offers a cloud-based solution for small businesses in India, covering billing, accounting, and inventory management. Endorsed by India's GSTN, the platform enables invoicing via WhatsApp or email, real-time inventory tracking, and downloadable sales and GST reports.

Challenges:

Developing GST billing software required automating mobile app functionality, particularly GST calculation accuracy. Testing aimed to ensure precise GST calculations, reduce manual testing efforts, and maintain user-friendliness amidst complex GST rates.

Solution:

Utilizing Jenkins for CI and Selenium/Appium + Java for automation, crafted robust test cases covering Android and iOS platforms. End-to-end scenarios were devised, ensuring comprehensive coverage and scalability for future enhancements.

Results:

Our automated testing enhanced the client's testing process, providing Appium scripts for functional testing and identifying performance issues. Pre-release testing ensured accurate GST calculations across diverse transactions and user-friendly interfaces.

Appium automation testing ensured accurate GST calculations and overall app performance, facilitating timely delivery and meeting user expectations.

Client:

Our client, based in the Netherlands, operates an online food-ordering service for various establishments, such as restaurants, cafes, bars, hotels, and retail outlets.

Challenges:

The client faced hurdles in their testing process, including manual intervention, time-consuming regression testing, and bug identification and resolution delays. Manual processes led to inconsistencies and increased risk of defects.

Solution:

We proposed a CI/CD approach leveraging Jenkins, GitHub, and Docker. GitHub centralized source code management, Jenkins automated builds triggered by code changes, and Docker ensured a consistent testing environment.

Benefits:

Improved Efficiency: Automated testing reduced testing time, enabling faster software releases.
Enhanced Test Coverage: Comprehensive testing suite minimized the risk of issues slipping into production.
Early Bug Detection: Integration of automated testing facilitated early bug identification, minimizing project timeline impact.

Conclusion:
The implementation of CI/CD techniques significantly enhanced the client's testing process, improving efficiency, quality, and collaboration.

Client:
The client, a U.S.-based company specializing in medical staffing services, sought to enhance the performance of its web application. The platform facilitated seamless connections between healthcare facilities and qualified medical professionals, offering job listings, applications, and staffing solutions. Challenges included assessing the application's scalability and identifying potential bottlenecks. To meet these, we employed JMeter for performance testing.

Our Solution:
Setting up a dedicated test environment mirroring production conditions, we meticulously planned test scenarios using JMeter components like Thread Groups, HTTP request samplers, and timers. We simulated realistic user interactions, encompassing actions from registration to application submission. Load tests were conducted incrementally, from light to heavy traffic, with scripts developed to simulate user actions and generate load.

Results and Benefits:
Performance testing revealed the platform's capability to handle 10,000 concurrent users with minimal degradation. Bottlenecks, including slow response times and resource limitations, were addressed, leading to a 30% improvement in response times under heavy load.

Client:

The client operates a top-ranking application in Indonesia, renowned for its accurate and trusted boarding house search functionality.

Challenges:

The need arose to develop a mobile UI automation framework for iOS and Android platforms. This framework ensured consistent and reliable testing while maintaining the application's esteemed reputation.

Solution:

Utilizing Appium, Java, and Cucumber, I designed and implemented a robust mobile UI automation framework tailored for iOS and Android. This framework facilitated seamless automation testing across various devices and platforms, ensuring comprehensive test coverage.

Results:

The developed automation framework empowered the client to conduct efficient and reliable UI testing, contributing to maintaining their application's top-ranking status in Indonesia. Furthermore, implementing Jenkins CI pipelines enabled automated test execution across diverse environments, ensuring consistent performance.

Conclusion:

By leveraging Appium, Java, and Cucumber, I successfully developed a mobile UI automation framework tailored for the client's top-ranking application in Indonesia.