Mobile Application Testing with Robotic Automation

A Case Study

The Client

The client, a prominent IT firm headquartered in Singapore, is a global leader in the technology sector with operations spanning multiple countries. Known for delivering innovative IT solutions across various industries, their services encompass enterprise software, cloud infrastructure, and application development.

While the client operates in diverse areas of IT, our solution was specifically tailored for their mobile application development division, which focuses on creating enterprise solutions and fintech applications for global markets.

Project

Mobile Application Testing Infrastructure

Client

Leading IT firm in Singapore

What We Did

Robotic Mobile Testing Automation Testing Solution & Training

The Challenges

Managing mobile application testing for enterprise and fintech solutions presented several key challenges

particularly in handling diverse and complex test scenarios across a fragmented ecosystem of mobile devices and operating systems. Traditional manual testing methods were labor-intensive, prone to inefficiencies, and unable to keep pace with the increasing demands for speed and precision.

Complex Test Scenarios

Enterprise and fintech applications require rigorous validation for functionality, security, and performance. The sheer volume of test cases, coupled with the need for precision in testing edge cases, overwhelmed the existing manual and semi-automated processes.

Device Fragmentation

Testing across hundreds of device models, operating systems, and screen resolutions posed a significant challenge. Each variation demanded individual attention, leading to delays in test cycles and inconsistencies in results.

Manual Testing Limitations

The heavy reliance on manual processes introduced inefficiencies and bottlenecks. Tasks such as navigating app workflows, entering data, and verifying UI consistency were repetitive and time-consuming, often resulting in delays and human errors.

Scalability Issues

With the rapid growth of mobile applications, scaling the testing process to meet demand became increasingly difficult. The limited ability of manual testing to run concurrent tests across multiple devices restricted the client’s capacity to deliver applications quickly without sacrificing quality.

High Operational Costs

The cost of maintaining a large workforce and supporting infrastructure for manual and semi-automated testing was a significant financial burden. This challenge became more pronounced as the client aimed to scale their operations while keeping costs under control.

Data Accuracy and Insights

The manual nature of test result documentation often led to inaccuracies in data collection and analysis. Inconsistent data made it difficult to identify patterns, diagnose issues efficiently, and gain actionable insights, delaying the decision-making process and impacting the overall quality of the applications.

Fully Automated Robotic Solution Designed to Mimic Human Interactions

The Solution

We deployed a state-of-the-art robotic automation testing solution using our proprietary tools

Quaco Studio

AI-Based Test Automation Suite:
Facilitated automated creation and execution of test cases using machine learning algorithms to predict test coverage and optimize testing efficiency.
Integration Capabilities:Seamless integration with the client’s existing test management systems allowed real-time reporting and analytics.

Quaco Pro D

Real Device Testing: Robots interacted with actual mobile devices to mimic user interactions such as touch gestures, scrolling, and data input.
Advanced AI Vision: Enabled precise actions like recognizing app elements across different device types and configurations.
High Scalability: Multiple robots operated simultaneously to execute tests across numerous devices, reducing bottlenecks.

Accessories

Q-BA (Quaco Button Actuator):
Specifically designed for the mobile testing industry, the Q-BA accessory enabled robotic systems to interact with side buttons on mobile devices that were otherwise inaccessible to the robotic arm. This feature increased test coverage, ensuring no functionality was overlooked.

The Results

“SGBI’s robotic automation solution has proven to be a transformative force for the client’s smart meter testing operations. By automating repetitive tasks and leveraging advanced technologies, the solution has delivered significant improvements in speed, accuracy, and efficiency.”

85

Reduction in test execution time

100

Test coverage

65

Reduction in operational costs

Substantial increase in test throughput

Elimination of human error

Enhanced User Experience

Speed & Productivity

95% Reduction in Test Execution Time

By eliminating the need for manual intervention and operator wait times, the testing process is accelerated dramatically. Tasks that once required hours could now be completed in minutes, allowing for continuous, 24/7 testing cycles.

Significant Increase in Test Throughput

The automation allows concurrent testing across multiple devices, drastically increasing the number of tests conducted in a given period. This improvement in throughput enabled the client to handle greater volumes of devices without compromising quality.

Quality and Accuracy

100% Test Coverage

The robotic system ensured complete coverage of all test cases, reducing the likelihood of missed defects. This led to enhanced product quality, with fewer errors reaching production environments.

Consistency Across Tests

The precision of robotic actions eliminated the variability often introduced by human operators, ensuring that every test was performed with the same level of accuracy and thoroughness.

Early Defect Detection

The ability to run continuous, around-the-clock tests allowed for earlier detection of defects, reducing the risk of issues surfacing during production and improving the reliability of the devices.

Operational Efficiency

70% Reduction in Operational Costs

By fully automating the testing process, the client was able to significantly reduce their reliance on manual labor, resulting in substantial cost savings. This reduction in labor costs, combined with faster test execution, provided a higher return on investment.

Scalability without Additional Staff

The automation allowed the client to scale their operations without the need for additional staff, offering a more flexible and efficient testing environment that could accommodate growing demands as the smart metering project expanded.

Minimized Human Error

The automation mitigated the risk of human error, leading to more reliable test results and greater confidence in the integrity of the devices being tested.

Innovation and Future-Readiness

Adaptive to New Technologies

With the system’s advanced machine learning and computer vision capabilities, the client was future-proofed against the introduction of new meter models and technologies. The robotic system’s adaptive features allowed for easy recalibration and swift onboarding of new devices.

Continuous Improvement

The integration of AI and robotics facilitated continuous process improvement, enabling the client to refine their testing processes over time and stay ahead in the rapidly evolving smart metering landscape.

This case study highlights the transformative impact of robotic automation on mobile application testing. By leveraging Quaco Studio and Quaco Pro D, the client not only overcame the limitations of manual testing but also achieved unmatched speed, scalability, and reliability in their operations.

As enterprise and fintech applications continue to grow in complexity, this solution positions the client at the forefront of innovation, ensuring they remain agile and future-ready in a competitive market.