The Katalon Blog

Software Testing Life Cycle: A Complete Guide

Written by Katalon Team | Oct 15, 2024 9:35:00 AM

The Software Testing Life Cycle (STLC) is your roadmap to delivering high-quality, bug-free software. Imagine it as a journey that guides software testers through every crucial step needed to transform a product from concept to perfection. 

Each phase plays a unique role, whether it's catching bugs, enhancing functionality, or ensuring the final product meets business needs. Every stage works in harmony to guarantee the software is ready for the real world. 

Ready to dive in? Let’s explore the six key stages of the STLC, from Requirement Analysis to Test Cycle Closure.

What is the Software Testing Life Cycle?

The Software Testing Life Cycle (STLC) is a structured process that defines all the phases involved in testing software, from understanding requirements to test closure. Each phase has its own objectives, deliverables, and entry/exit criteria.

The STLC ensures that testing is not a one-time activity, but a planned, repeatable, and trackable part of software development.

In STLC, testing isn’t limited to “running tests.” It includes analyzing requirements, planning test strategies, designing test cases, preparing environments, executing tests, reporting defects, and validating whether the product meets its intended purpose.

Why STLC Matters in Modern SDLC Processes

Modern software development is fast-paced and continuous, especially in Agile and DevOps environments. Without a defined testing lifecycle, teams face:

  • Missed bugs due to unstructured test planning

  • Poor test coverage

  • Unreliable releases

  • Difficulty reproducing and fixing defects

STLC adds discipline and repeatability to the QA process. It enables:

In short, STLC transforms testing from a reactive activity into a strategic driver of software quality.

How STLC differs from SDLC

The SDLC is the Software Development Life Cycle. STLC is a subset of SDLC: while SDLC builds the software, STLC validates it. They run in parallel, with STLC aligning its activities with each SDLC phase.

Here's a quick comparison table:

Aspect STLC (Software Testing Life Cycle) SDLC (Software Development Life Cycle)
Definition A structured sequence of testing phases to validate software quality A full process to design, develop, deploy, and maintain software
Focus Validating and verifying that the software meets requirements Delivering a complete software product from start to finish
Phases Requirement Analysis, Test Planning, Test Case Design, Environment Setup, Test Execution, Test Closure Requirement Gathering, Design, Development, Testing, Deployment, Maintenance
Entry Point Begins after the software requirements are defined Begins with business need or idea for new software
Exit Point Ends with test closure and sign-off after final testing Ends with software retirement or transition
Stakeholders Testers, QA Leads, Automation Engineers Developers, Designers, Product Owners, QA, DevOps
Deliverables Test Plan, Test Cases, Test Scripts, Bug Reports, Test Summary SRS, Design Docs, Source Code, Deployment Plan, User Manuals
Role in Quality Ensures that the software is functionally and non-functionally correct Builds the software product, with testing integrated as one phase
Tools Used TestRail, Selenium, JIRA, Postman, TestNG, Cypress JIRA, Git, Jenkins, IDEs, Docker, Kubernetes, SonarQube
Cycle Dependency Highly dependent on test readiness and requirement stability Depends on clear scope, planning, and team collaboration

When does the STLC begin and end?

  • STLC begins as soon as software requirements are available. Even before code is written, testers start analyzing requirements and planning tests.

  • STLC ends after test closure activities are completed, where all planned tests are executed, results are documented, defects are resolved (or deferred), and final reports are signed off.

Entry/Exit Criteria for STLC

Aspect STLC (Software Testing Life Cycle) SDLC (Software Development Life Cycle)
Definition A structured sequence of testing phases to validate software quality A full process to design, develop, deploy, and maintain software
Focus Validating and verifying that the software meets requirements Delivering a complete software product from start to finish
Phases Requirement Analysis, Test Planning, Test Case Design, Environment Setup, Test Execution, Test Closure Requirement Gathering, Design, Development, Testing, Deployment, Maintenance
Entry Point Begins after the software requirements are defined Begins with business need or idea for new software
Exit Point Ends with test closure and sign-off after final testing Ends with software retirement or transition
Stakeholders Testers, QA Leads, Automation Engineers Developers, Designers, Product Owners, QA, DevOps
Deliverables Test Plan, Test Cases, Test Scripts, Bug Reports, Test Summary SRS, Design Docs, Source Code, Deployment Plan, User Manuals
Role in Quality Ensures that the software is functionally and non-functionally correct Builds the software product, with testing integrated as one phase
Tools Used TestRail, Selenium, JIRA, Postman, TestNG, Cypress JIRA, Git, Jenkins, IDEs, Docker, Kubernetes, SonarQube
Cycle Dependency Highly dependent on test readiness and requirement stability Depends on clear scope, planning, and team collaboration

The Full Software Testing Life Cycle Explained

1. Requirement Analysis

At this stage, software testers collaborate with key stakeholders to gather and understand testing requirements. The insights gained are documented in the Requirement Traceability Matrix (RTM), forming the backbone of the testing strategy.

In the Software Testing Life Cycle, three primary stakeholders work together:

  • Product Owner: Represents business goals and defines the problem that needs solving.
  • Developer: Builds the solution based on the product owner’s specifications.
  • Tester: Validates that the solution works correctly and identifies issues.

Clear communication between these roles is essential. Using Behavior-Driven Development (BDD) can help simplify requirements and prevent ambiguous tests. This phase is also where testers check for the feasibility of implementing requirements. If there are constraints, discussions with the business side are crucial to adjust expectations or find alternative solutions.

2. Test Planning

Once the requirements are understood, the Test Planning phase begins. This is the stage in the Software Testing Life Cycle where the test strategy is formalized.

Key components of test planning include:

  • Test Objectives: Identify what aspects (functionality, usability, performance, or security) need to be tested.
  • Test Deliverables: Define the test cases, scenarios, and data that will be produced and monitored.
  • Scope: Clarify which features will be tested and which will not (in-scope vs. out-of-scope).
  • Resources: Estimate the costs, tools, and personnel required for the testing process.
  • Timeline: Set milestones for test phases alongside the software development cycle.
  • Test Approach: Choose appropriate testing techniques (e.g., black box or white box testing), levels (unit, integration, system), and types (regression, smoke, performance).

For greater control over the project, a Contingency Plan is recommended to handle unexpected challenges during the testing process.

🧾 Read More: How to build a regression test plan?

3. Test Case Development

In this stage of the Software Testing Life Cycle, testers start developing test cases based on the requirements and planning outcomes. A test case outlines how a particular feature or functionality will be tested.

Example Test Case:

Component

Details

Test Case ID

TC001

Description

Verify Login with Valid Credentials

Preconditions

User is on the login page

Test Steps

1. Enter email, 2. Enter password, 3. Sign In

Test Data

Email: validuser@example.com, Password: valid123

Expected Result

User is logged in and redirected to homepage

Actual Result

(To be filled after execution)

Pass/Fail Criteria

Pass: Login success, Fail: Error displayed

A strong test case should clearly outline what’s being tested, expected outcomes, and pass/fail criteria. Testers often think creatively about how to "break" the system to ensure comprehensive coverage.

Here's a sample Selenium script written for that test case:

Python (Selenium)
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import unittest
import time

class TestLoginValidCredentials(unittest.TestCase):
    def setUp(self):
        self.driver = webdriver.Chrome()  # or webdriver.Firefox()
        self.driver.maximize_window()
        self.driver.get("https://example.com/login")  # Replace with actual login URL

    def test_valid_login(self):
        driver = self.driver

        # Test data
        email = "validuser@example.com"
        password = "valid123"

        # Step 1: Enter email
        driver.find_element(By.ID, "email").send_keys(email)

        # Step 2: Enter password
        driver.find_element(By.ID, "password").send_keys(password)

        # Step 3: Click Sign In
        driver.find_element(By.ID, "loginButton").click()

        # Wait for redirect (adjust as needed)
        time.sleep(3)

        # Verification: Check if redirected to homepage
        self.assertIn("dashboard", driver.current_url.lower())

    def tearDown(self):
        self.driver.quit()

if __name__ == "__main__":
    unittest.main()

Yes. Automation testing requires some coding knowledge. However, if you and your team don't really want to code, you can take a look at some low-code automation testing tools to help you get started quickly.

4. Test Environment Setup

This phase of the Software Testing Life Cycle involves configuring the test environment: the hardware, software, and network conditions under which testing will take place.

For example, these are the test environments you can use to run your tests with in Katalon Studio:

For example, if you’re testing a mobile app, you’ll need:

  • Development Environment: Tools like Android Studio or Xcode, simulators for virtual device testing, and local databases for early integration tests.
  • Physical Devices: A variety of physical devices (iPhone, Android models) to uncover issues that simulators might miss.
  • Test Automation Tools: Tools like Appium or Katalon Studio can automate testing across multiple devices and platforms.
  • Emulators/Simulators: Use Android Studio emulators or Xcode simulators for iOS to quickly test different devices and configurations.

Ensuring that the test environment mimics the real-world use cases as closely as possible is crucial for accurate results. 

5. Test Execution

Now that the test cases are written and the environment is set up, the Test Execution phase begins. During this step in the Software Testing Life Cycle, test cases are executed, and the outcomes are compared to the expected results.

The typical test case statuses during execution are:

  • Untested: Test case hasn’t been executed yet.
  • Blocked: Test case cannot be executed due to dependencies (e.g., unresolved defects, missing data).
  • Failed: The actual result didn’t meet the expected result.
  • Passed: Test case executed successfully, and the expected outcome was achieved.
  • Skipped: Test case was not relevant to the current testing cycle.
  • Deprecated: Test case is no longer valid due to updates or changes in the application.

Defects found during this phase are logged and reported to the development team, who then resolve them.

📚 Read More: Best practices for test execution

6. Test Cycle Closure

The final phase in the Software Testing Life Cycle is Test Cycle Closure. After all test cases have been executed, the focus shifts to analyzing the outcomes and creating the Test Report.

This report summarizes key findings, including:

  • Execution Environment: Details like operating systems, devices, and browsers used during testing.
  • Test Log: A chronological record of test execution and outcomes.
  • Test Results: Charts and graphs showing pass/fail ratios, performance trends, and execution times.
  • Comparative Analysis: Data comparing results from different software versions, identifying improvements or regressions.
  • Recommendations: Actionable insights for debugging and future improvements.

Testers gather to evaluate the project’s success, review the findings, and document lessons learned for future reference. This step ensures continuous improvement in the testing process.

📚 Read More: How to build a good test report?

Role of STLC in Agile, DevOps, and Waterfall

1. In Agile

  • STLC is compressed into iterations or sprints

  • Testers collaborate closely with developers and product owners

  • Emphasis on shift-left, exploratory testing, and automation

  • Test planning and design happen continuously

2. In DevOps

  • STLC is fully integrated into the CI/CD pipeline

  • Heavy reliance on automated testing (unit, API, E2E)

  • Fast feedback is critical

  • STLC supports continuous testing, monitoring, and release readiness

3. In Waterfall

  • STLC is sequential, follows development phases

  • Heavy documentation, formal test planning

  • Test execution begins after development is complete

  • Emphasis on test coverage and traceability

How to integrate testing into the SDLC?

Let's meet @Gokul Sridharan in this episode of #AutomationDecoded, who's going to share his insights on how to integrate testing into the SDLC. The strategy to approach this depends on the current level of testing maturity in your team:

Conclusion

The Software Testing Life Cycle (STLC) is a structured process that helps ensure software quality by breaking down the testing journey into manageable, repeatable steps. From the initial Requirement Analysis to Test Cycle Closure, each phase contributes to making software more reliable, functional, and aligned with business objectives.

Whether you're writing test cases, executing them, or setting up test environments, following these stages will help you build a robust testing strategy that minimizes bugs and maximizes performance.