What Should Be Your Ideal Test Strategy for 2025?

Keeping Pace with the Growing Demands of Modern Software Development

Critical issues continue to emerge due to insufficient testing. Configuration defects in the Hawaii Emergency Management Agency’s alarm system led to a false missile alert, creating confusion and panic. A faulty software update in Google’s Nest thermostat resulted in impacting customer’s home temperatures. Surely there are many more such issues.

What can we learn from them? Software is everywhere. These incidents highlight how software is increasingly having an impact on our daily lives—whether in homes, cars, healthcare, baking, retail, mobile, or work.

How can we fix it? You could rely on manual testers—but that alone won’t cover everything. You could implement automation testing—but it’s impractical to automate every scenario. Just like your competitors, you too could start leveraging cutting-edge tools like AI and ML.

How can we fix it, effectively? You can’t leap ahead of your competitors if you are doing the exact same thing. You need to bring strategy to the center stage. In this volatile, tech-driven, faster-paced environment, conventional approaches to testing strategy will no longer serve you well. What’s needed is an adaptive strategy that evolves with the increasing complexity and continuous shifts.

This article introduces a testing framework tailored for enterprise AI platform adoption, driven by learnings attained through real-world implementations, and setting you up for testing success in 2025. 

Let’s Build an Ideal Test Strategy for you!

A robust test strategy in 2025 will leverage AI, prioritize automation, embrace continuous testing, and focus on quality at speed. 

To meet this need, Webomates bridges the gap between strategy and technology. Their strategies are bolder and more innovative because they have the technology to test, learn, and adapt in real-time to changes.

Say you are building a banking application. Let’s craft an ideal test strategy for you, incorporating all the key elements needed for success in 2025. 

1. Define Testing Objective

Clearly state the objectives and goals of the testing, along with roles and responsibilities.

Example: The main objective is to ensure that the banking application processes transactions accurately, securely, and efficiently, while also providing a seamless user experience and meeting regulatory standards.

• QA Engineers: Responsible for creating and executing test cases and having audit-ready artifacts.
• Developers: Responsible for resolving defects and creating unit tests.
• Business Analysts: Responsible for defining requirements and validating that testing aligns with business goals.
  

2. Define Scope of Testing

Determine the features and functionalities that will be included in the testing process. These typically include areas critical to the user experience or the application’s primary objective.

Example: 

• Testing will cover core banking functionalities, such as user authentication, account creation, fund transfers, and loan applications. 
• Include non-functional testing, such as performance and security.

3. Identify the Testing Approach

Define the overall approach, whether it will be manual testing, automation, or a combination of both. 

Example: 

• Manual testing is best when you need human expertise and intuition, such as exploratory testing, usability testing, or when you have complex UI components that are difficult to automate
• Automation is best when you need repeated testing like regression testing, end-to-end testing, or API testing.
• The best way forward is the combination of both, harnessing the strengths of each method.

Additionally, Intelligent testing features like self healing and Shift Left Testing reduce the time and cost of maintaining failed test cases and help you power your team’s agility. 

4. Specify the Testing Types

Specify the types of testing and guidelines to be followed for each testing type, such as performance, functional, regression, load, and security testing. This ensures a comprehensive approach that covers all essential aspects of the application. 

Example:

• Functional Testing: Validate that the core functionalities, such as account creation and transactions, work as expected and meet business requirements.
• Performance Testing: Assess the application during peak hours to ensure it can handle high loads.

Check out the extensive guidelines for API Testing, Regression Testing, Security Testing and leveraging Gen AI to elevate the testing experience and ensure a higher customer satisfaction level.

5. List the Tools and scope of automation

Define the scope of automation, select the right tool and any guidelines to be followed. 

Example:

• Regression Testing Tool: Automate a suite of regression tests to ensure that new releases do not impact existing functionalities
• Security Testing Tool: Automate vulnerability scans to identify potential security threats like SQL injection or cross-site scripting.
• Performance Testing Tool: Simulate user loads to test system behavior under peak conditions.
• Defect Prediction: Reduce bugs in production 

Go through the guidelines on How To Choose The Right Automation Testing Tool. 

6. Specify the required Test Environments

Outline information about the number of environments and the required setup for each environment.

Example: 

• Create a dedicated testing environment that mimics production, including necessary databases, servers, and third-party integrations.
• The environment should be completely separate from your production environment to avoid any disruptions to live user data. 
• Implement the required security protocols to protect sensitive customer data. 
• Regularly update the test environment to reflect changes made to the production environment. 

7. Test Case and Test Data Creation

Provide guidelines on how the test data is created. Develop strategies for creating, managing, and securing test data.

Example: 

• Identify the type of data needed based on the test scenarios. 
• Use automation to generate diverse test cases based on application functionalities. 
• Secure and protect sensitive customer information.

8. Establish Defect Reporting

Outline the defect triaging process to manage and fix defects throughout the testing cycle. 

Example:

• Set up a triage process to identify defects that need immediate attention.
• Predict potential security vulnerabilities by analyzing data and enabling proactive security measures.
• Perform root cause analysis for every accepted defect.
• Document all triaged defect data in a defect report.

Know more about the importance of defect triaging, its challenges, and ways to overcome them here: Defect triage: The catalyst in bug resolution process

9. Gather Test Metrics

Establish the key metrics, such as defect density, test coverage, and execution time, to measure the efficiency and quality of the testing process. Gathering insights and feedback from stakeholders that will help you make data-driven decisions and track targets.

Example:

• Test Coverage: Gives you the % of code/functionality covered by testing.
• Test Execution Time: Monitor the time to run various test suites. 
• Customer Satisfaction Score (CSAT): Measures customer satisfaction with product quality and usability.

Check out Key Metrics To Track The Progress Of Your QA Transformation

for formulas to calculate every test metric.

10. Plan ahead for Risks and Mitigations

List all the testing-related risks and their respective mitigation plans. The absence of realistic and relevant test data, incomplete testing coverage, or poorly defined requirements can all lead to ineffective testing.

Example: 

• Insufficient Test Coverage: Use automated tools to analyze test coverage.
• Lack of Test Data: Use synthetic data that simulates real-world scenarios.
• High Complexity of the Application: Utilize exploratory testing to discover issues in complex areas.
• Limited Time for Testing: Adopt a shift-left testing approach.
• Performance Bottlenecks: Conduct load and stress testing.

Implementing these practices will position teams to deliver high-quality software at a pace that keeps up with modern development demands—helping to meet both organizational and customer expectations in 2025 and beyond.

Take the Next Step

Once you’ve crafted your ideal test strategy, the next step is to implement and execute it to ensure product quality, coverage, and efficiency. 

Webomates innovation and intelligent automation capabilities provide comprehensive coverage for testing life cycle activities and minimize the duration and cost of testing. It helps you streamline your testing process, enhance quality, and achieve a more agile and efficient way of testing.

If you are looking for a one-stop solution for your testing needs, then look no further; Click here to schedule a demo or reach out to us at info@webomates.com.

Tags: AI Testing, Enterprise Testing Strategy, Intelligent Test Automation, QA Transformation, Software Testing, Software Testing Lifecycle, Test Automation, testing in 2025, Webomates