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Bug fixes can mislead. Just because a developer pushes a patch does not confirm the issue is resolved. Sanity test cases give QA teams a fast way to validate if the fix works. This avoids unnecessary regression runs when only one function was touched.
A sanity testing test case checks the specific area that was previously broken. If login fails or a button becomes unresponsive after deployment, there’s no need to test everything. Just confirm the fix behaves as expected.
This blog includes five working sanity test case examples based on real issues. Each example outlines the input, the expected output, and the steps required to validate the fix. For teams working under tight deadlines, these cases help avoid unnecessary regression runs.
Tools like BotGauge simplify this process further by generating focused sanity test cases automatically, right after a bug is resolved.
A recent fix addressed a problem where valid users were unable to log in using correct credentials. This issue blocked access to critical features and disrupted the user experience. A quick sanity testing test case ensures the login flow behaves as expected without re-running the full authentication suite.
This basic test is part of a strong sanity test checklist. You can also verify session persistence after login, ensuring no side effects remain from the original bug. When tools like BotGauge are in place, this sanity test case can be auto-generated and executed within minutes, saving valuable QA effort.
A bug caused promo codes to apply incorrect discounts in the cart. Customers either overpaid or saw inconsistent totals during checkout. This required focused sanity testing test cases to verify discount logic in isolation.
This type of issue fits perfectly within a sanity test checklist. You’re confirming only the part that broke—no need to test payment gateways or user profile flow.
This sanity test case helps prevent billing errors and supports quicker releases. Use similar sanity test case examples for any update tied to cart pricing or discount application.
After a production deployment, users reported that the “Place Order” button on the checkout page stopped responding. This bug interrupted the entire purchase flow.
A targeted sanity test case helps confirm that the issue is resolved without testing the full order system.
This test belongs in any standard sanity test checklist. It’s a fast way to verify the checkout flow after UI or configuration changes.
For functional bug testing, this scenario highlights how even a small deployment error can break core actions. Including such sanity testing test cases reduces the risk of missed blockers in release pipelines.
A bug was introduced where deleting a read message caused the chat window to crash. The issue impacted user communication and required immediate attention. A direct sanity test case is enough to confirm that the fix holds without running full UI tests.
This kind of issue is common in real-world sanity testing. You do not need broad coverage. Just one test to verify the core fix and one edge case.
These sanity test case examples help reduce QA cycles and are easy to reuse during future UI updates. Every test in the sanity test checklist should cover recent bug zones like this.
An API endpoint was recently updated through a configuration file. On some builds, the older config caused silent failures during profile updates.
A focused sanity test case is required to verify the new endpoint works as expected and that fallbacks don’t trigger errors.
This test fits into a minimal testing approach where the goal is to validate high-impact fixes quickly. It supports software sanity verification by ensuring core API flows behave correctly post-config change.
Test Case | Scenario | ID | Input | Action | Expected Result | Edge Case |
Login Failure Fix | Bug in login for valid users | STC-001 | Email: qa.user@example.com, Password: ValidPass123 | Enter credentials and click Login | Redirect to dashboard, user name visible | Wrong password shows “Invalid credentials” |
Discount Calculation Bug | Promo code gives incorrect total | STC-002 | Product: T-shirt ₹1,000, Promo: SAVE20 | Apply promo and proceed to checkout | Discount ₹200 applied, total ₹800 | Ineligible promo shows “Invalid promo code” |
Broken Checkout Button | “Place Order” button unresponsive post-deploy | STC-003 | Cart: 2 items, Address: 221B Baker Street | Click Place Order | Redirects to payment page | Empty address keeps button disabled |
Messaging Feature Crash | Deleting message crashes chat | STC-004 | Chat with 3 read messages | Delete last message | Message deleted, chat remains stable | Group chat delete blocked or shows warning |
Environment Config Update | Config change broke API silently | STC-005 | Update name to Akshay QA in profile | Click Save Changes | Profile updated, API returns 200 OK | Legacy config shows connection error |
Such sanity test case examples are critical for spotting misconfigurations before release. Every QA sanity flow should include a test like this for endpoint or environment-related fixes.
BotGauge is one of the few AI testing agents with features that clearly set it apart from other sanity testing test case tools. It combines flexibility, automation, and real-time adaptability for QA teams that need fast, reliable validation.
Our autonomous agent has created over a million sanity test cases across industries like fintech, e‑commerce, and healthcare. With over 10 years of software testing experience, the founders designed BotGauge to meet the exact needs teams face after a bug fix.
These capabilities support rapid feedback and help QA teams manage tight deadlines using consistent, reusable sanity test case examples. → Explore BotGauge’s AI-driven testing features.
Manual sanity test cases often get skipped or poorly maintained. QA teams are under pressure, and writing tests for every bug fix becomes repetitive. There’s no standard format, no reuse, and no time. Most teams rely on tribal knowledge or rushed checks.
The result? Bugs slip into production. A small login fix breaks the cart. A promo code issue goes unnoticed. Customers face errors that were supposedly resolved. The fear of regression lingers with every release, slowing down deployments and shaking confidence across teams.
That’s where BotGauge comes in. It removes the manual effort from sanity testing test cases. Describe the fix, and it builds the test. It adapts to UI changes and runs only what’s needed. No guesswork. Just fast, reliable verification with real sanity test case examples.Let’s connect today and let BotGauge handle your Sanity Testing.
Sanity testing is a fast way to verify that a bug fix works without running full regression. Teams use focused sanity test cases to check only the changed module. These tests confirm stability and prevent retesting unaffected areas, making them ideal for quick software sanity verification in agile environments.
Sanity testing test cases are run before regression. They help decide if the build is stable enough for deeper testing. If the sanity test case fails, there's no point continuing. This method saves time, filters out broken builds early, and keeps your QA sanity flow efficient.
Yes. Automated sanity test cases let teams validate bug fixes fast, without manual effort. Tools can trigger these tests post-deployment or commit. Automating sanity testing test cases improves accuracy, speeds up releases, and ensures consistent execution across builds. It fits perfectly in a minimal testing approach.
Top tools for sanity testing test cases include BotGauge, Katalon, TestSigma, and Cypress. These platforms support auto-generation, self-healing logic, and real-time reporting. They help build reusable sanity test case examples with full-stack coverage, making functional bug testing simpler and faster for QA teams.
Most bug fixes need 2–5 focused sanity test cases. Your goal is to verify the exact function that broke and its immediate impact. A good sanity test checklist includes both success paths and edge cases. Keeping it lean avoids wasted effort while ensuring solid post-fix validation.
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