Table of Contents

What is Test Management? Definition, Guide, Best Practices

Test management is the conductor of the entire testing process. It ensures that individual testing activities seamlessly work together.

In fact, if you look at the software testing lifecycle, test management activities actually account for 4/6 key stages, while the actual testing only accounts for 2/6 stages. Test management sets the background for good test execution.

In this article, we’ll explore the concept of test management, why it’s important, and test management best practices.

What is Test Management?

Test management is the practice of organizing and controlling the testing process to prepare for the test execution phase.

Activities in test management include:

📌 Planning: Defining objectives, scope, and strategies to guide the testing process.

📌 Organizing: Categorizing test cases based on requirements

📌 Configuring: Preparing the necessary hardware and software for testing

📌 Executing: Running tests and capturing results in a controlled environment.

📌 Tracking: Monitoring progress, managing defects, and ensuring alignment with goals.

📌 Reporting: Reviewing results, generating reports, and identifying areas for improvement.

Benefits of Test Management

Test management brings the following benefits to the team:

Systematic testing: test management structures your activities into a unified system and brings consistency.
Enhanced collaboration: test management tools centralize test documentation, making it easier for team members to share updates, track progress, and work together seamlessly.
Resource optimization: test management ensures that resources such as time, tools, and personnel are used optimally so critical areas receive appropriate attention.

Test Management Process

1. Test Planning

Think of this as your road map. Without a plan, testing can feel like wandering in a maze. During this phase, you’ll:

Define Objectives: What are you testing and why?
Scope Out the Work: Identify what’s in-scope and out-of-scope.
Select Test Types: Functional, regression, performance, or security—what’s needed?
Allocate Resources: Assign tasks based on skillsets and availability.
Create a Schedule: Deadlines are your compass; ensure they’re realistic.

Read More: What is Test Planning? Test Plan Document Examples

2. Test Case Management

After designing and creating test cases based on the plan, the team categorizes them into the correct taxonomies.

Here are some approaches to test case organization:

Severity (High - Medium - Low impact to system performance/security)
Priority (High - Medium - Low urgency)
Root Cause (Coding Error, Design Flaw, Configuration Issue, or User Error, etc.)
Bug Type (Functional Bugs, Performance Issues, Usability Problems, Security Vulnerabilities, Compatibility Errors, etc.)
Areas of Impact
Frequency of Occurrence

Using the logic above, you can group your test cases into Test Suite (a set of related test cases) and further combined into Test Suite Collection (a group of Test Suites) in Katalon Studio.

Create a new test suite collection

Read More: What is Test Planning? Test Plan Document Examples

3. Test Environment Configuration

A test environment is a carefully designed setup that mimics real-world conditions where your software will operate. It is everything the software needs to run, like hardware, software, network configurations, and even test data.

Mirror Production: Ensure staging or test environments closely resemble the live setup.
Set Up Tools: Install required software, frameworks, and monitoring tools.
Prepare Test Data: Populate databases with dummy data that mimics real-world scenarios.
Check Connectivity: Ensure APIs, third-party services, and integrations are functional.

Read More: Test Environment: Best Practices When Setting Up

4. Test Data Management

Data fuels your tests, but poor data management can derail the process. Ensure you:

Create Reusable Data: Design datasets that can be shared across tests.
Mask Sensitive Information: Use anonymized or dummy data to protect privacy.
Simulate Real Scenarios: Ensure data matches user behavior and edge cases.