Testing Strategy for Live Streaming Mobile Application

Technology Stack

Problem Statement


Improving Streaming Quality: Poor streaming quality due to bugs and defects in the application can lead to a bad user experience. Users may abandon the application or switch to a competitor, resulting in revenue loss.


Checking Compatibility with Different Devices and Networks : Lack of testing can result in incompatibility issues with different devices, operating systems, and network conditions resulting in buffering, lagging, or other issues.


Security Vulnerabilities: Without proper testing, security vulnerabilities such as data breaches and unauthorized access to user data can occur. Such incidents can damage the reputation of the application and lead to loss of users and revenue.


Limited Scalability: Inadequate testing can lead to scalability issues, resulting in poor performance and slow loading times. The application may fail to handle a large number of users simultaneously, resulting in revenue loss and negative user feedback.


Increased Development Costs: Adopting software testing as part of the development cycle can help identify and fix issues early, reducing development costs and improving the overall quality of the application.

Solution Overview


OptiSol collaborated with a prominent startup company to incorporate QA approach into the development cycle of their live streaming application.


Various testing strategies were implemented by OptiSol to enhance the system's strategic, cost-effective, and scalable nature.


OptiSol's team designed a Regression framework that encompassed all possible scenarios to assist the Testing Team in detecting ambiguity in the existing modules caused by the deployment of new features.


Automation regression testing and Performance testing were utilized to ensure the consistent performance of the mobile application.


The team documented all the possible scenarios for all available modules in the application.

Business Impact


Increased User Retention: Implementing automated testing strategies improved the quality of the application, leading to 10% increase in user retention.


Faster Time-to-Market: By identifying and fixing bugs early in the development cycle, OptiSol's collaboration helped the startup release new features faster with sprint release reduced by one week.


Improved Customer Statisfication: Implementing a Regression framework and documenting all possible scenarios can help ensure a consistent and high-quality user experience, leading to improved customer satisfaction.


Scalability: : By designing a scalable system, the startup could handle increased traffic and user demand as the application grows.


Improved Quality:OptiSol's implementation of automation regression testing and performance testing lead to a 90% reduction in defects, making it consistent and error-free, resulting in improved quality.

Testing Strategies Applied

Automated Regression Testing

  1. Automated regression testing is a technique used in software testing that automates the re-execution of previously executed test cases.
  2. The purpose of this technique is to ensure that existing functionalities of a software application still work as expected after changes or updates have been made.
  3. The primary objective of automated regression testing is to detect any regression issues that may arise from these changes or updates and ensure that the software application’s existing functionalities have not been impacted.

Performance Testing

  1. Performance testing is a software testing technique that assesses the performance of an application by subjecting it to various workload scenarios.
  2. The aim of performance testing is to uncover any performance-related problems, such as slow response times, bottlenecks, or resource utilization issues, and optimize the application’s performance accordingly.
  3. This type of testing usually involves simulating multiple workload scenarios and measuring the application’s response time, throughput, and resource utilization in each case.

API Testing

  1. Automated API testing is a technique used in software testing to test the Application Programming Interfaces (APIs) of a software application.
  2. It involves the use of automated tools and scripts to send requests to an API and verify the responses against expected results, ensuring that the API functions as expected.
  3. This testing technique employs specialized testing tools and frameworks to automate the testing process, saving time and reducing the risk of human error.

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Key Features


Run regression suite on every build release


Report bugs which are found in automation test in Azure DevOps


Test on various mobile device version


Re-usability of Test Suite


Increases the Test Coverage

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