This complete QA Testing tutorial covers 112 topics — from STLC and test design to web/API/mobile testing, security and performance basics, Selenium/Playwright automation, and a final web application QA project.
Course roadmap
- Introduction to Software Testing
- What is Software Testing?
- QA vs QC vs Testing
- Software Development Life Cycle (SDLC)
- Software Testing Life Cycle (STLC)
- Types of Software Testing
- Manual Testing
- Automation Testing
- Functional Testing
- Non-Functional Testing
- Black Box Testing
- White Box Testing
- Grey Box Testing
- Test Case
- Test Scenario
- Test Condition
- Test Data
- Test Plan
- Test Strategy
- Test Execution
- Test Results
- Bug / Defect / Issue
- Bug Life Cycle
- Severity vs Priority
- Bug Reporting
- Bug Tracking Tools
- Smoke Testing
- Sanity Testing
- Regression Testing
- Retesting
- Integration Testing
- System Testing
- Unit Testing
- Acceptance Testing
- User Acceptance Testing (UAT)
- Exploratory Testing
- Ad-Hoc Testing
- End-to-End Testing
- Positive Testing
- Negative Testing
- Boundary Value Analysis
- Equivalence Partitioning
- Decision Table Testing
- State Transition Testing
- Error Guessing
- Requirement Analysis for QA
- Requirement Traceability Matrix (RTM)
- Test Case Design
- Test Case Review
- Test Execution and Reporting
- Web Application Testing
- Website UI Testing
- Responsive Testing
- Cross-Browser Testing
- Mobile Testing
- Android Testing
- iOS Testing
- API Testing
- REST API Testing
- GET, POST, PUT and DELETE Testing
- API Authentication Testing
- JSON and XML Testing
- Postman for API Testing
- Database Testing
- SQL for QA
- Data Validation Testing
- CRUD Testing
- Performance Testing
- Load Testing
- Stress Testing
- Volume Testing
- Scalability Testing
- Security Testing
- Authentication Testing
- Authorization Testing
- Session Testing
- SQL Injection Testing
- XSS Testing
- Usability Testing
- Accessibility Testing
- Compatibility Testing
- Installation Testing
- Upgrade and Downgrade Testing
- Configuration Testing
- Localization Testing
- Internationalization Testing
- CI/CD Testing
- Git for QA
- Jira for Bug Tracking
- TestRail for Test Management
- Selenium Introduction
- Selenium WebDriver
- Selenium Locators
- XPath and CSS Selectors
- Selenium Waits
- Page Object Model (POM)
- Selenium with Java
- Selenium with Python
- Automation Framework Development
- Data-Driven Testing
- Keyword-Driven Testing
- Hybrid Testing Framework
- BDD Testing
- Cucumber for BDD
- Playwright for Test Automation
- Cypress for Test Automation
- API Automation
- Performance Testing with JMeter
- Test Automation Best Practices
- QA Interview Questions
- Real-World Testing Project
- Final Project – Complete Web Application QA Testing
1. Introduction to Software Testing
Software testing finds defects early, reduces risk, and builds confidence that software meets requirements. This series covers manual and automation testing, APIs, performance, security basics, tools, and a complete QA project.
- Learn testing fundamentals and STLC.
- Practice test cases, bugs, and execution.
- Automate critical flows and finish the final project.
Learning path
SDLC/STLC + test design
Test types + bug lifecycle
Web/mobile/API/DB testing
Tools (Jira, Postman, Selenium…)
Automation frameworks
Final web app QA project
2. What is Software Testing?
Testing is not only “finding bugs” — it provides information about quality, risk, and readiness for release.
Testing goals
Verify requirements
Find defects early
Reduce release risk
Improve confidence
Support better decisions
3. QA vs QC vs Testing
QA is process-focused prevention; QC is product-focused detection; Testing is a QC activity that executes checks.
Quick compare
QA → prevent defects (process)
QC → detect defects (product)
Testing → execute checks / find issues
4. Software Development Life Cycle (SDLC)
Common models include Waterfall, Agile/Scrum, and hybrid. Earlier testing involvement reduces cost of defects.
SDLC phases (typical)
Requirements → Design → Build → Test → Deploy → Maintain
Agile: continuous testing each sprint
5. Software Testing Life Cycle (STLC)
STLC organizes testing work: plan, design, environment, execute, report, and close.
STLC phases
Requirement analysis
Test planning
Test case design
Environment setup
Test execution
Cycle closure
6. Types of Software Testing
Choose types based on risk — not every project needs every technique at the same depth.
Type map
By method: Manual / Automation
By knowledge: Black / White / Grey
By level: Unit / Integration / System / UAT
By quality: Functional / Non-functional
7. Manual Testing
Manual testing remains essential for usability, exploratory testing, and early feature validation.
Manual strengths
Fast feedback on new UI
Exploratory insight
Usability judgment
Good when UI is unstable
8. Automation Testing
Automate what is repetitive and stable; keep exploratory/manual for changing or judgment-heavy areas.
Automate when
Regression suites
Smoke packs
API contracts
Data-heavy checks
NOT every one-off UI experiment
9. Functional Testing
Functional tests ask: does the system do what it should for valid and invalid inputs?
Functional focus
Requirements coverage
Business rules
Input/output behavior
Error handling
10. Non-Functional Testing
Non-functional quality often decides production success even when features “work”.
NFT examples
Performance
Security
Usability
Compatibility
Reliability
11. Black Box Testing
Ideal for validating requirements and user behavior independently of implementation.
Black box techniques
BVA
Equivalence partitioning
Decision tables
State transition
Error guessing
12. White Box Testing
Common in unit/integration testing by developers; QA may review coverage and risk areas.
White box focus
Statement/branch coverage
Path testing
Loop testing
Internal error handling
13. Grey Box Testing
Useful for integration, API, and security-informed tests where architecture context helps.
Grey box tip
Know APIs/DB schema lightly
Still validate from user/API contracts
Target risky integrations
14. Test Case
Good test cases are unambiguous, atomic where practical, and easy for others to execute.
Test case fields
ID, Title, Preconditions
Steps
Test data
Expected result
Priority / type
15. Test Scenario
Scenarios help coverage brainstorming; cases add executable detail.
Scenario example
Scenario: User can reset password via email link
Cases: valid token, expired token, reused token...
16. Test Condition
Conditions are the “things that can be verified”; cases cover them with steps.
Condition idea
Requirement: discount max 20%
Conditions: 0%, 20%, 21% rejected, missing coupon...
17. Test Data
Poor test data hides bugs. Manage privacy for production-like data.
Data types
Valid / invalid
Boundary
Blank / null
Duplicate
Role-based datasets
18. Test Plan
A test plan aligns stakeholders on what will/won’t be tested and how risk is handled.
Plan contents
Scope / out of scope
Strategy & types
Environment
Roles
Schedule
Entry/exit criteria
Risks
19. Test Strategy
Strategy is broader than a single plan — tooling standards, environments, automation policy.
Strategy themes
Test levels policy
Automation guidelines
Environments
Defect process
Metrics
20. Test Execution
Execute in priority order; blockers first; keep evidence (screenshots/logs).
Execution tips
Smoke first
Priority order
Log defects ASAP
Retest fixes
Update status in tool
21. Test Results
Results should help decide go/no-go — not only show percentages.
Result report
Executed vs planned
Pass/fail/blocked
Open defects by severity
Risks & recommendations
22. Bug / Defect / Issue
In practice teams say “bug”; formally a defect is a deviation from expected behavior/requirements.
Terms
Error → human mistake
Defect/bug → in product
Failure → observed incorrect behavior
Issue → tracked work item
23. Bug Life Cycle
Common states: New → Assigned → Open → Fixed → Retest → Verified → Closed (or Reopened/Rejected).
Typical states
New
Assigned
In Progress
Fixed
Retest
Verified / Closed
Reopened / Rejected / Deferred
24. Severity vs Priority
A cosmetic bug can be high priority before a marketing launch; a severe bug in a rare path may be lower priority.
Examples
High sev / high pri: payment broken
High sev / low pri: crash in rare admin tool
Low sev / high pri: logo wrong on homepage launch day
25. Bug Reporting
Great reports include environment, steps, expected vs actual, data, and attachments.
Bug report template
Title (clear + specific)
Environment / build
Preconditions
Steps
Expected vs Actual
Severity/Priority
Attachments (shot/video/logs)
26. Bug Tracking Tools
Use fields consistently so metrics and triage stay meaningful.
Tool habits
One workflow for team
Required fields
Link to stories/cases
Avoid duplicate filing
27. Smoke Testing
If smoke fails, stop — don’t waste cycle time on a broken build.
Smoke pack idea
App launches
Login works
Core create/view flow
Critical payment/nav path
28. Sanity Testing
Sanity is narrower than smoke — verify a specific area is “sane” enough to continue.
Sanity vs smoke
Smoke → broad critical paths on new build
Sanity → narrow check after small fix
29. Regression Testing
Prioritize regression by risk; automate stable regression candidates.
Regression tip
Risk-based selection
Automate stable flows
Include integrations
Run before release
30. Retesting
Retesting is confirmation of a fix; regression checks for collateral damage.
Retest rule
Same steps + data that failed
Mark verified only if expected result passes
Then consider nearby regression
31. Integration Testing
Catch contract mismatches, data mapping errors, and timing issues between components.
Integration focus
API contracts
DB + service
Third-party callbacks
Message queues
32. System Testing
System testing is end-to-end at product level before UAT.
System testing includes
Functional E2E
Key NFT checks
Business workflows
Environment close to prod
33. Unit Testing
QA benefits from strong unit tests: fewer trivial bugs reach system test.
Unit testing note
Fast + isolated
Mocks for dependencies
High volume in CI
Supports refactoring
34. Acceptance Testing
May be formal against contracts/AC; often overlaps with UAT in Agile.
Acceptance idea
Given / When / Then criteria
Business sign-off
Ready for release decision
35. User Acceptance Testing (UAT)
UAT focuses on business fitness, not finding every technical edge case.
UAT tips
Real user roles
Production-like data
Business scenarios
Sign-off checklist
36. Exploratory Testing
Exploratory testing finds surprising bugs automation misses — document notes/timeboxes.
Session idea
Charter: Explore checkout with coupon edge cases (60m)
Notes + bugs + follow-ups
37. Ad-Hoc Testing
Ad-hoc can find issues quickly but is weak for coverage proof; prefer structured exploratory sessions.
Use carefully
Good for quick gut-checks
Weak for audit/coverage
Convert finds into formal cases
38. End-to-End Testing
Keep E2E suites lean — they are powerful but slower and more brittle.
E2E example
Register → verify email → login → purchase → invoice email → admin order visible
39. Positive Testing
Positive tests prove happy paths; pair with negative tests for resilience.
Positive example
Valid login credentials → dashboard loads
40. Negative Testing
Negative tests protect data integrity and UX under misuse.
Negative examples
Wrong password
SQL-like input in fields
Submit blank required fields
Expired session actions
41. Boundary Value Analysis
For range 1–100, test 0,1,2 and 99,100,101 (as applicable).
BVA example
Field: age 18–60
Test: 17, 18, 19, 59, 60, 61
42. Equivalence Partitioning
EP reduces cases while keeping coverage of behavior classes.
EP example
Valid ages 18–60 → one value (e.g. 30)
Invalid <18 → one value
Invalid >60 → one value
43. Decision Table Testing
Decision tables shine when multiple combinations drive different outcomes.
Decision table tip
List conditions
List actions
Fill True/False combinations
Derive cases from columns
44. State Transition Testing
Great for orders, tickets, workflows, and login lockout states.
State example
Order: New → Paid → Shipped → Delivered
Illegal: Delivered → New without admin override
45. Error Guessing
Complement structured techniques — don’t rely on guessing alone.
Guess targets
Empty uploads
Copy-paste whitespace
Double submit
Timezone edges
Currency rounding
46. Requirement Analysis for QA
Ask clarifying questions early; untestable requirements become untestable products.
Review checklist
Clear acceptance criteria?
Ambiguous words (fast, user-friendly)?
Missing error cases?
Dependencies noted?
47. Requirement Traceability Matrix (RTM)
RTM helps answer: are we testing everything important, and what’s still open?
RTM columns
Req ID
Description
Test scenario/case IDs
Status
Defect IDs
48. Test Case Design
Balance depth vs time; cover critical paths first.
Design tips
One primary objective per case
Reusable steps
Independent where possible
Trace to requirements
49. Test Case Review
Reviews catch missing negatives, unclear steps, and duplicated effort.
Review focus
Ambiguous steps?
Missing expected results?
Data specified?
Coverage gaps?
50. Test Execution and Reporting
Daily/iteration reports should highlight risk, blockers, and trends — not only counts.
Report metrics
% executed
Pass rate
Open sev-1/2 bugs
Blocked tests
Risk notes
51. Web Application Testing
Include session handling, forms, uploads, and role-based access.
Web QA checklist
Auth flows
Forms/validation
Navigation
Browser matrix
API + UI consistency
52. Website UI Testing
Check hover/focus/disabled states and broken UI on real viewports.
UI checks
Spacing/alignment
Truncation
Empty states
Error states
Brand consistency
53. Responsive Testing
Test orientation changes and touch targets on real devices when possible.
Responsive tip
Key breakpoints
No horizontal scroll
Readable text
Tap targets
Menus/drawers
54. Cross-Browser Testing
Prioritize browsers by analytics; watch CSS and JS API differences.
Browser matrix tip
Based on traffic analytics
Latest + N-1 versions
Safari on macOS/iOS critical for many markets
55. Mobile Testing
Include network switches, backgrounding, and permissions flows.
Mobile risks
Permissions
Poor network
Interrupts (calls)
OS version fragmentation
Store guidelines
56. Android Testing
Watch runtime permissions, battery optimizations, and file/camera intents.
Android focus
API level matrix
Back stack behavior
Permissions
Notifications
Play build variants
57. iOS Testing
Test on multiple iPhone sizes; verify background refresh and Keychain/auth flows.
iOS focus
Permission strings
Safe areas / notch
Face ID/Touch ID flows
TestFlight builds
58. API Testing
Validate status codes, payloads, auth, and error shapes.
API test axes
Status codes
Schema/body
Headers
Auth
Idempotency / errors
59. REST API Testing
Check resource URLs, correct verbs, pagination, and filtering behavior.
REST checks
GET list/detail
POST create
PUT/PATCH update
DELETE remove
Pagination & filters
60. GET, POST, PUT and DELETE Testing
Ensure GET is safe, POST creates, PUT/PATCH updates, DELETE removes (as designed).
Method expectations
GET → read, no side effects
POST → create
PUT/PATCH → update
DELETE → remove / soft-delete
61. API Authentication Testing
Confirm 401/403 behavior and that protected routes reject anonymous access.
Auth cases
No token
Invalid token
Expired token
Valid token wrong role
Token refresh flows
62. JSON and XML Testing
Schema checks catch contract drift before UI breaks.
Payload checks
Required fields present
Correct types
Null handling
Unexpected fields policy
Encoding/charset
63. Postman for API Testing
Organize folders by resource; assert status and JSON paths; run collection runners/Newman in CI.
Postman tip
Environments for QA/UAT
Collection variables
pm.test assertions
Share collections with team
64. Database Testing
Compare UI/API results with DB state; check cascading deletes and transactions.
DB QA focus
Constraints/keys
CRUD accuracy
Migrations
Data migration jobs
Sensitive data handling
65. SQL for QA
QA doesn’t need DBA depth — but strong SELECT skills unlock faster root-cause checks.
Useful SQL
SELECT id, email, created_at
FROM users
WHERE email = 'qa@example.com';
ORDER BY id DESC
LIMIT 5;
66. Data Validation Testing
Validate trimming, encoding, timezone/currency formats, and rounding rules.
Validation angles
Input validation
Storage format
Display format
Round-trip integrity
67. CRUD Testing
Confirm deleted entities cannot be read (or soft-delete rules), and updates are idempotent where required.
CRUD matrix
Create → appears in list/detail/DB
Read → correct fields
Update → persists
Delete → removed / gated
68. Performance Testing
Define SLAs first (response time, error rate, throughput) then test against them.
Perf metrics
Response time
Throughput
Error %
CPU/memory
Apdex / percentiles (p95)
69. Load Testing
Ramp users realistically; watch degradation curves and bottlenecks.
Load tip
Baseline first
Ramp to target load
Hold soak window
Compare to SLA
70. Stress Testing
Stress reveals failure modes — also verify graceful degradation and recovery after load drops.
Stress focus
Breaking point
Error behavior
Recovery time
Data consistency after stress
71. Volume Testing
Large datasets expose slow queries, timeouts, and UI pagination issues.
Volume tip
Seed large DB
Test search/filter/export
Watch query times + timeouts
72. Scalability Testing
Validate horizontal/vertical scaling assumptions with measured results.
Scalability question
If we add instances/resources, does throughput rise near-linearly?
Where are bottlenecks (DB, locks, external APIs)?
73. Security Testing
Security testing should be authorized and scoped. Cover authn/z, sessions, injection, and sensitive data exposure.
Security basics for QA
Auth & session
Access control
Input injection
Sensitive data in logs/UI
HTTPS / cookie flags
74. Authentication Testing
Confirm error messages don’t leak whether a user exists (as per security design).
Auth cases
Valid login
Invalid password
Locked account
Reset token expiry
Logout invalidates session
75. Authorization Testing
Test horizontal/vertical privilege escalation attempts via UI and API.
AuthZ tip
Role matrix
Direct URL/API access
IDOR checks (other user IDs)
Admin-only actions blocked
76. Session Testing
Check cookie flags (Secure, HttpOnly, SameSite) where applicable.
Session checks
Idle timeout
Remember-me behavior
Logout clears session
Concurrent login rules
77. SQL Injection Testing
Prefer verifying parameterized queries / ORM usage and that classic payloads do not change behavior or expose errors.
QA approach (authorized)
Submit suspicious inputs in forms/API
Expect safe rejection / no data leak
Confirm no raw DB errors in UI
Report responsibly
78. XSS Testing
Test reflected/stored XSS surfaces: comments, profiles, markdown fields, admin panels.
XSS QA tip
Enter script-like text
Confirm rendered as text not executed
Check HTML contexts (attr/js)
Use staging only
79. Usability Testing
Observe users; measure task success/time; avoid leading them.
Usability measures
Task success rate
Time on task
Error rate
Satisfaction notes
80. Accessibility Testing
Use axe/Lighthouse plus manual keyboard/screen-reader checks for critical flows.
A11y checklist
Keyboard only navigation
Visible focus
Alt text
Form labels
Contrast
ARIA where needed
81. Compatibility Testing
Build a risk-based matrix from analytics and contracts.
Compatibility matrix
OS × Browser × Device
Prioritize top traffic combos
Retest on upgrades
82. Installation Testing
Include permissions, disk space failures, and upgrade installers where relevant.
Install checks
Fresh install
Uninstall cleanup
Cancel mid-install
Shortcut/services created
83. Upgrade and Downgrade Testing
Never lose user data; verify rollback plans for failed upgrades.
Upgrade tip
N → N+1 upgrade
Data preserved
Feature flags behave
Rollback path tested
84. Configuration Testing
Useful for products with many toggles, locales, or deployment options.
Config ideas
Feature flags on/off
Env configs
Optional modules
Supported OS locales
85. Localization Testing
Check truncation, RTL layouts, and correct date/number/currency formats.
L10n checks
Translations complete
No overlapping text
Date/currency formats
RTL if required
86. Internationalization Testing
i18n testing checks Unicode, locale switching, and that strings are externalized.
i18n focus
Unicode input/storage
Locale switch
No hard-coded strings
Timezone handling
87. CI/CD Testing
Run unit/API/smoke on PRs; heavier suites on schedule/main; gate deploys on quality signals.
Pipeline layers
PR: lint + unit + critical API
Nightly: broader UI regression
Pre-prod: smoke + security scans
88. Git for QA
QA automation lives in repos — know clone, branch, PR, and conflict basics.
Git basics
git clone <repo>
git checkout -b qa/login-tests
git status
git commit -m "Add login smoke tests"
git push -u origin HEAD
89. Jira for Bug Tracking
Use issue types, workflows, and links (blocks/relates) consistently.
Jira habits
Clear summaries
Required fields
Link to story/case
Components + versions
Boards for sprint visibility
90. TestRail for Test Management
TMS tools improve coverage visibility and execution tracking across builds.
TestRail flow
Suites/cases
Test run for build
Execute & comment
Reports for stakeholders
91. Selenium Introduction
Selenium WebDriver drives real browsers — foundation for many UI frameworks.
Selenium pieces
WebDriver
Bindings (Java/Python/JS…)
Grid (optional scale)
IDE (record/playback limited use)
92. Selenium WebDriver
Create a driver, navigate, find elements, interact, assert, quit.
WebDriver flow
Start driver
driver.get(url)
find element → click/type
assert outcome
quit driver
93. Selenium Locators
Prefer stable locators (test IDs) over brittle absolute XPaths.
Locator preference
data-testid / id
CSS selectors
XPath when needed
Avoid long absolute paths
94. XPath and CSS Selectors
CSS is often faster/readable; XPath helps with text/parent axes.
Selector examples
CSS: form#login input[name='email']
XPath: //button[normalize-space()='Sign in']
95. Selenium Waits
Wait for conditions (visible, clickable, present) with timeouts.
Wait tip
Explicit wait > Thread.sleep
Avoid flaky fixed sleeps
Centralize timeout defaults
96. Page Object Model (POM)
POM reduces duplication and eases locator maintenance.
POM idea
LoginPage.hideEmail()
LoginPage.enterPassword()
LoginPage.submit()
Tests call page methods only
97. Selenium with Java
Java remains common in enterprise Selenium stacks with Maven/Gradle.
Java stack
Java + Maven
Selenium WebDriver
TestNG/JUnit
AssertJ optional
98. Selenium with Python
Python enables readable tests and fast prototyping for QA teams.
Python stack
Python + pytest
Selenium WebDriver
Fixtures for driver setup
Allure optional reporting
99. Automation Framework Development
Separate tests, pages/services, test data, and utilities cleanly.
Framework layers
Tests
Page/API objects
Core driver/client
Config + data
Reporting + CI
100. Data-Driven Testing
Keep data in CSV/JSON/Excel and assert expected outcomes per row.
DDT tip
One script + many rows
Externalize data
Clear expected results column
101. Keyword-Driven Testing
Useful for business-readable tables; maintain keyword libraries carefully.
Keyword idea
OpenApp | url
Login | user | pass
Click | Checkout
VerifyText | Success
102. Hybrid Testing Framework
Most real frameworks are hybrid — pick pieces that reduce maintenance.
Hybrid pattern
POM for UI maps
Data-driven inputs
Reusable action keywords/helpers
103. BDD Testing
BDD improves shared understanding; automation should map cleanly to steps.
BDD scenario
Feature: Login
Scenario: Valid user signs in
Given I am on the login page
When I sign in with valid credentials
Then I should see the dashboard
104. Cucumber for BDD
Keep scenarios business-focused; push technical detail into step code.
Cucumber tip
Features/*.feature
Step definitions
Hooks for setup/teardown
Avoid UI detail in Gherkin
105. Playwright for Test Automation
Playwright is popular for fast, stable UI tests and API testing helpers.
Playwright strengths
Auto-wait
Chromium/Firefox/WebKit
Trace viewer
APIRequestContext
106. Cypress for Test Automation
Great DX for JS teams; know trade-offs vs multi-tab/multi-origin historically (improving over time).
Cypress tip
cy.visit / get / click
Fixtures for data
Network intercepts
CI parallelization
107. API Automation
API automation often gives the best ROI before heavy UI automation.
API automation stack ideas
Postman/Newman
Rest Assured (Java)
pytest + requests
Playwright API
CI gating
108. Performance Testing with JMeter
Start with a baseline script; parameterize users/data; analyze response times and errors.
JMeter building blocks
Thread Group
HTTP Request
Listeners/Reports
Assertions
CSV Data Set
109. Test Automation Best Practices
Avoid flaky sleeps, over-E2E, and testing everything through the UI.
Best practices
Test pyramid
Stable locators
Explicit waits
Independent tests
Clear reports
Quarantine flaky tests
110. QA Interview Questions
Be ready to explain STLC, severity vs priority, test design techniques, and framework choices.
Sample Q&A
Q: Severity vs Priority?
A: Severity = impact; Priority = fix urgency.
Q: Smoke vs Sanity?
A: Smoke = broad build acceptance; Sanity = narrow check after small change.
Q: Why POM?
A: Centralize locators/actions; easier maintenance.
111. Real-World Testing Project
Practice requirement review → cases → execution → bugs → regression → summary report.
Project workflow
Read requirements
Write RTM + cases
Execute + log bugs
Retest + regress
Publish test summary
112. Final Project – Complete Web Application QA Testing
Pick a demo web app (e.g., e-commerce/admin). Deliver RTM, test plan, 40+ cases, bug reports, Postman collection, Selenium/Playwright smoke pack, and a final QA sign-off report with risks.
- Select target web app and environments.
- Produce plan, RTM, and cases.
- Execute manual + API + automation smoke.
- File bugs and write the final QA report.
Final project deliverables
1. Test plan + scope
2. RTM linked to requirements
3. Manual functional + negative cases
4. API collection (auth + CRUD)
5. Cross-browser smoke notes
6. Automation smoke (login + core journey)
7. Logged defects with severity/priority
8. Execution report + go/no-go recommendation
Suggested app areas to cover
Auth (login/logout/reset)
Profile update
Search/list/filter
Create-edit-delete entity
Checkout or form submit
Role-based access
Basic responsive checks
Conclusion
You now have a full QA path: fundamentals, design techniques, platform testing, tools, and automation. Finish the final web application QA project to turn the lessons into portfolio-ready evidence.