Skip to main content

Bug Life Cycle (Defect Life Cycle)



The bug life cycle is the journey a software bug goes through from the moment it's found until it's fixed and confirmed as gone. Here's a simple explanation in layman's terms.

OR

In technical terms, the Bug Life Cycle (also known as Defect Life Cycle) refers to the sequence of stages a defect or bug goes through during its lifetime in a software development process. It helps track the current status of a bug and ensures proper handling from detection to closure.

🐞 Bug Life Cycle:

  1. New – Someone finds a problem in the software and reports it. The bug is now "new."

  2. Assigned – The bug is given to a developer (the person who fixes it).

  3. In Progress / Open – The developer starts working on fixing the bug.

  4. Fixed – The developer believes they have solved the problem and marks it as "fixed."

  5. Tested / Retest – The tester checks the software again to see if the bug is really gone.

  6. Verified – If the bug is truly fixed, it's marked as "verified."

  7. Closed – The bug is officially considered done and no longer an issue.

What if it’s not fixed?

  • If the bug still exists after testing, it's reopened and goes through the cycle again.

These states can slightly vary depending on the bug tracking system (like JIRA, Bugzilla, etc.) or the organization’s workflow. Would you like a version of this formatted for documentation or training use?


\

Labels:

Comments

Post a Comment

Popular posts from this blog

🚀 Applitools: The AI-Powered Visual Testing Tool Revolutionizing QA

In today’s fast-paced software development world, ensuring that your application looks perfect across devices and browsers is critical. This is where Applitools , a cutting-edge AI-based visual testing tool , steps in to make QA faster, smarter, and more efficient. 🔍 What is Applitools? Applitools is an AI-powered testing platform designed specifically for visual UI testing and monitoring . It uses Visual AI to detect any visual bugs in your application, making sure that what users see is exactly what you intended. With integrations across major test automation frameworks like Selenium, Cypress, Playwright, and Appium , Applitools offers cross-platform support with ease. 🧠 Why Use Applitools? 1. Visual AI for Precision Applitools doesn’t rely only on pixel-by-pixel comparison. Its Visual AI engine mimics human vision , identifying visual differences that actually matter and ignoring false positives. 2. Cross-Browser & Cross-Device Testing Run your test across 1000s of br...
Post a Comment
Read more

Some trending tools.

As of 2025, Quality Assurance (QA) continues to evolve with a strong focus on automation, AI integration, and shift-left testing practices. Here are some of the top trending tools and technologies in QA: 🔧 Test Automation Tools Playwright Gaining popularity for end-to-end testing of web apps. Offers auto-waiting, headless execution, and multi-browser support. Good alternative to Selenium. Cypress Popular for front-end testing. Fast, developer-friendly, and great for CI/CD pipelines. TestCafe Node.js-based, easy to use for UI testing. Doesn’t require WebDriver like Selenium. Katalon Studio All-in-one solution for API, web, desktop, and mobile testing. Good for teams with less coding experience. Robot Framework Keyword-driven testing. Highly extensible and integrates well with Python libraries. 🤖 AI-Powered Testing Tools Testim (by Tricentis) Uses AI to stabilize and speed up UI tests. Reduces flakiness and test m...
Post a Comment
Read more

AI tools and techniques that can be integrated into Selenium test cases to enhance automation with intelligence, self-healing, and smarter reporting.

  🔧 1. Healenium (Self-healing for Selenium) Use case : Automatically heals broken locators at runtime. Integration : Java-based and works directly with Selenium WebDriver. GitHub : https://github.com/healenium/healenium-web 📌 Benefits : Reduces test maintenance effort and improves test stability. 🧠 2. Testim (AI-based test execution and maintenance) Use case : Uses AI to identify elements and adapt to DOM changes. Integration : While Testim has its own framework, you can integrate via REST API or CI/CD pipelines. 📌 Alternative : Use AI features in the Testim platform for authoring and executing Java-based tests externally. 🔍 3. Applitools Eyes (Visual AI testing) Use case : Compares screenshots using AI to detect visual regressions. Integration : Java SDK available; easy to integrate with existing Selenium tests. Site : https://applitools.com 📌 Benefits : Detects UI bugs that are hard to find with DOM-based checks. 🗂️ 4. Mabl (AI ...
Post a Comment
Read more