Image Upload Testing Checklist (2026)
Image Upload Testing Checklist (2026) provides a concrete, step‑by‑step matrix for validating every aspect of an image upload feature—from the simplest happy‑path flow to the most obscure edge case, a
Image Upload Testing Checklist (2026) provides a concrete, step‑by‑step matrix for validating every aspect of an image upload feature—from the simplest happy‑path flow to the most obscure edge case, accessibility concern, and security risk. Use this guide as a reference you can bookmark, adapt to your stack, and run manually or through automation. The sections below break the checklist into logical groups, give clear pass criteria, show real‑world examples, and include code snippets that you can drop into a test suite.
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Image Upload Testing Checklist (2026): Happy Path Scenarios
Core flow validation
| Test ID | Description | Input / Action | Expected Result | Pass Criteria |
|---|---|---|---|---|
| HP‑01 | Single image upload via file picker | Select a JPEG ≤ 5 MB, click Upload | Image appears in gallery, upload success toast, HTTP 200 response with URL | Upload completes within 3 s on 3G, no errors in console |
| HP‑02 | Drag‑and‑drop upload | Drag a PNG ≤ 10 MB onto drop zone, release | Same as HP‑01, visual feedback shows drop zone highlight | No JavaScript errors, drop zone returns to idle state |
| HP‑03 | Multiple image selection | Choose 3 images (JPEG, PNG, WebP) each ≤ 2 MB | All three upload concurrently, each shows individual progress bar, final gallery shows all three | All requests return 200, total time ≤ 1.5× single upload time |
| HP‑04 | Upload from camera (mobile) | Launch camera, capture photo, confirm | Photo uploaded, EXIF orientation preserved, thumbnail generated | Image displays correctly oriented, no corruption |
| HP‑05 | Upload with optional metadata | Fill caption field “Sunset beach”, select album “Vacation”, upload | Backend stores image URL, caption, album ID; gallery shows caption under thumbnail | Metadata matches payload sent in multipart request |
| HP‑06 | Resume after network interruption | Start upload, disable Wi‑Fi at 50 % progress, re‑enable after 5 s | Upload resumes from checkpoint, completes successfully | No duplicate files, final size matches original |
Implementation notes
- Use a multipart/form‑data request with
Content‑Disposition: form-data; name="file"; filename="image.jpg"and a separate part for JSON metadata if your API accepts it. - Verify the
Locationheader or JSON response contains a permanent URL that resolves with aGETreturningContent-Type: image/jpeg(or appropriate type). - For mobile, ensure the camera intent returns a
content://URI that your upload handler can stream without copying to external storage (avoids permission issues on Android 13+).
Automated happy‑path snippets
cURL (manual verification)
curl -X POST https://api.example.com/v1/images \
-H "Authorization: Bearer $TOKEN" \
-F "file=@/tmp/sample.jpg;type=image/jpeg" \
-F "caption=Sunset beach" \
-F "album_id=42"
Appium (Android) – Java
@Test
public void testHappyPathUpload() {
driver.findElement(By.id("upload_btn")).click();
driver.findElement(By.id("file_picker")).sendKeys("/sdcard/Pictures/test.jpg");
driver.findElement(By.id("caption")).sendKeys("Happy path test");
driver.findElement(By.id("submit")).click();
WebDriverWait wait = new WebDriverWait(driver, Duration.ofSeconds(10));
wait.until(ExpectedConditions.visibilityOfElementLocated(By.id("toast_success")));
Assert.assertTrue(driver.findElement(By.id("toast_success")).getText()
.contains("Upload successful"));
}
Playwright (Web) – TypeScript
test('happy path upload', async ({ page }) => {
await page.goto('/upload');
await page.setInputFiles('input[type="file"]', 'tests/fixtures/sample.png');
await page.fill('textarea[placeholder="Caption"]', 'Playwright test');
await page.click('button:has-text("Upload")');
await expect(page.locator('.toast-success')).toContainText('Uploaded');
const imgSrc = await page.getAttribute('img.gallery-item', 'src');
expect(imgSrc).toMatch(/^https:\/\/cdn\.example\.com\/images\/.+\.(png|jpe?g)$/);
});
---
Image Upload Testing Checklist (2026): Error Handling and Validation
Client‑side validation
| Test ID | Description | Input / Action | Expected Result | Pass Criteria |
|---|---|---|---|---|
| EH‑01 | Empty file picker | Click Upload without selecting a file | Inline error “Please select an image”, form not submitted | No network request, focus stays on picker |
| EH‑02 | Wrong MIME type | Select a .pdf file | Error “Only image files are allowed” | Request blocked, file not uploaded |
| EH‑03 | Exceed size limit | Choose a 12 MB JPEG (limit 10 MB) | Error “File too large – max 10 MB” | No upload attempt |
| EH‑04 | Zero‑byte file | Create empty file touch empty.jpg, select it | Error “File appears to be corrupted” | Upload rejected |
| EH‑05 | Invalid characters in filename | Select file named image<>.jpg | Either sanitized name or error “Invalid filename” | No 500 server error; filename stored safely |
| EH‑06 | Simultaneous exceed of concurrent uploads | Try to start 6 uploads when limit is 4 | First 4 start, remaining 2 queued or show “Too many concurrent uploads” | System stays responsive, no crash |
Server‑side validation
| Test ID | Description | Input / Action | Expected Result | Pass Criteria |
|---|---|---|---|---|
| EH‑07 | Malformed multipart boundary | Send request with missing boundary | HTTP 400 Bad Request, error “Invalid multipart format” | No image stored |
| EH‑08 | Path traversal in filename | Filename ../../etc/passwd | HTTP 400, error “Invalid filename” | No file written outside upload directory |
| EH‑09 | Embedded scripts (XSS) | Upload SVG with | File stored but served with Content‑Disposition: attachment or sanitized; script not executed | Response headers prevent execution |
| EH‑10 | Virus‑like content | Upload file containing EICAR test string | AV service (if integrated) blocks, returns HTTP 422 with “Malicious content detected” | No file persisted |
| EH‑11 | Metadata injection | Caption field with SQL '; DROP TABLE images;-- | Stored as plain text, no SQL error | Parameterized queries or ORM used |
| EH‑12 | Unsupported image format | Upload HEIC on backend that only accepts JPEG/PNG/WebP | HTTP 415 Unsupported Media Type | Clear error message, no 500 |
Implementation notes
- Client‑side checks improve UX but must never be trusted; always replicate them server‑side.
- Use a library like
file-type(Node) ormagic(Python) to verify actual file signatures, not just extension. - For security, store uploads outside the web root or serve them via a signed URL service (e.g., AWS S3 with CloudFront signed URLs).
- Log rejected attempts with request ID, IP, and user‑agent for abuse detection.
Automated error‑handling snippet (Playwright)
test('rejects PDF upload', async ({ page }) => {
await page.goto('/upload');
await page.setInputFiles('input[type="file"]', 'tests/fixtures/dummy.pdf');
await expect(page.locator('.error-message')).toHaveText(/Only image files are allowed/);
await expect(page.request.once('request', r => r.url().includes('/v1/images'))).not.toBeCalled();
});
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Image Upload Testing Checklist (2026): Edge and Boundary Cases
File‑size boundaries
| Test ID | Size (bytes) | Limit | Expected Result |
|---|---|---|---|
| EB‑01 | 0 (empty) | >0 | Rejected (see EH‑04) |
| EB‑02 | 1 byte | >0 | Accepted if valid image header (rare) – otherwise rejected |
| EB‑03 | 9 999 999 | 10 MB | Accepted |
| EB‑04 | 10 000 000 | 10 MB | Accepted (exact boundary) |
| EB‑05 | 10 000 001 | 10 MB | Rejected |
| EB‑06 | 50 MB | 100 MB (high‑limit endpoint) | Accepted |
| EB‑07 | 150 MB | 100 MB | Rejected |
Dimension boundaries
| Test ID | Width × Height (px) | Max dimension | Expected Result |
|---|---|---|---|
| EB‑08 | 1 × 1 | 5000 px | Accepted (tiny but valid) |
| EB‑09 | 5000 × 5000 | 5000 px | Accepted (exact) |
| EB‑10 | 5001 × 5000 | 5000 px | Rejected (width exceeds) |
| EB‑11 | 10000 × 100 | 5000 px | Rejected (height exceeds) |
| EB‑12 | 0 × 0 | N/A | Rejected (invalid image) |
Format‑specific quirks
| Test ID | Format | Particularity | Expected Result |
|---|---|---|---|
| EB‑13 | JPEG with CMYK profile | Some browsers cannot display CMYK | Image uploaded, but preview may show colors shifted – ensure server converts to sRGB or warns |
| EB‑14 | PNG with alpha channel | Transparency | Preserved after upload; verify via GET that alpha channel intact |
| EB‑15 | WebP lossless | Newer format | Accepted if backend supports; otherwise returns 415 |
| EB‑16 | Animated GIF | Multiple frames | Accepted; ensure only first frame used for thumbnail unless spec says otherwise |
| EB‑17 | HEIC (Apple) | Requires licensing | If backend lacks HEIC support, return 415 with helpful message |
| EB‑18 | SVG with external resources | | Sanitize or block external references; otherwise may lead to SSRF |
Implementation notes
- Generate test files programmatically using ImageMagick or Pillow to hit exact byte counts.
- For dimension tests, resize while preserving aspect ratio, then pad to target size.
- Use a CI job that uploads a matrix of files and asserts the HTTP status matches the expectation table.
Shell script to create boundary JPEGs
#!/usr/bin/env bash
# creates a JPEG of exact size $1 bytes (approximate)
SIZE=$1
OUT="test_${SIZE}b.jpg"
# start with a 100x100 color image
convert -size 100x100 xc:#$(printf "%06x" $((RANDOM%0xffffff))) tmp.png
# adjust quality until file size approximates target
QUAL=95
while true; do
convert tmp.png -quality $QUAL $OUT
ACTUAL=$(stat -c%s "$OUT")
if (( ACTUAL <= SIZE && ACTUAL > SIZE-500 )); then break; fi
if (( ACTUAL > SIZE )); then ((QUAL--)); else ((QUAL++)); fi
done
echo "Generated $OUT ($ACTUAL bytes)"
---
Image Upload Testing Checklist (2026): Accessibility
Keyboard navigation
| Test ID | Action | Expected Result |
|---|---|---|
| A‑01 | Tab to file‑picker button, press Enter | File‑picker dialog opens |
| A‑02 | Tab through drop zone, press Space | Same as click – file‑picker opens |
| A‑03 | After selecting file, tab to caption field, type, then tab to Upload button, press Enter | Upload initiates |
| A‑04 | Escape key while dialog open closes dialog without selection | No stray file attached |
Screen‑reader announcements
| Test ID | Scenario | Expected Announcement |
|---|---|---|
| A‑05 | File‑picker opens | “Choose file, button” |
| A‑06 | File selected | “File selected, image.jpg” |
| A‑07 | Upload in progress | “Uploading, 30 percent completed” (if live region) |
| A‑08 | Upload success | “Upload successful, image.jpg added to gallery” |
| A‑09 | Upload error | “Error, file too large – maximum 10 MB” |
Color contrast & focus visibility
- Ensure the drop zone has a contrast ratio ≥ 4.5:1 against its background in both idle and drag‑over states.
- The upload button must display a visible focus outline (≥ 2 px solid) when keyboard‑focused.
ARIA & labeling
must have an associatedoraria-labelthat conveys purpose (“Upload profile picture”).- If using a custom drag‑zone, apply
role="button"andaria-pressed="false"→truewhile dragging. - Live region (
aria-live="polite") for progress updates prevents verbosity overload.
Automated accessibility check (axe‑core with Playwright)
import { injectAxe, checkA11y } from '@playwright/experimental-axe-helper';
test.describe('upload accessibility', () => {
test.beforeEach(async ({ page }) => {
await injectAxe(page);
await page.goto('/upload');
});
test('passes axe core checks', async ({ page }) => {
const accessibilitySnapshot = await checkA11y(page, {
// exclude known false positives if any
exclude: ['.tooltip'],
});
expect(accessibilitySnapshot.violations).toEqual([]);
});
});
---
Image Upload Testing Checklist (2026): Security and Privacy
Threat model checklist
| Test ID | Threat | Test case | Expected mitigation |
|---|---|---|---|
| S‑01 | Unauthorized upload | Omit auth token, attempt POST | HTTP 401 Unauthorized |
| S‑02 | File type spoofing | Rename .exe to .jpg, upload | Server rejects based on magic bytes, not extension |
| S‑03 | Path traversal | Filename ../../../tmp/evil.jpg | Server normalizes, returns 400 |
| S‑04 | SSRF via image URL fetch | Provide URL http://169.254.169.254/latest/meta-data/ in metadata field | Server disallows fetching external URLs or restricts to allow‑list domains |
| S‑05 | Denial of service via huge file | Upload 5 GB file | Connection timed out or rejected early by size check before disk consumption |
| S‑06 | Metadata leakage | Upload image with GPS coordinates, check if EXIF stripped | Either EXIF removed or stored separately with user consent |
| S‑07 | CSRF | Submit upload form from another site without token | Request rejected due to missing/invalid CSRF token |
| S‑08 | Clickjacking | Embed upload page in iframe | X-Frame-Options: DENY or CSP frame-ancestors 'none' |
| S‑09 | Rate limiting abuse | Send 100 upload requests in 5 s from same IP | HTTP 429 Too Many Requests after threshold |
| S‑10 | Stored XSS via SVG | Upload SVG with ; later view in gallery | Script not executed; CSP script-src 'self' blocks inline script |
Privacy considerations
- If the app stores images in a cloud bucket, ensure bucket ACLs are private and access is mediated via signed URLs with short expiry (≤ 15 min).
- Provide a clear privacy notice that explains whether EXIF data is retained, stripped, or used for features like geotagging.
- Offer a “Delete my uploads” endpoint that removes both the file and any associated metadata, and verify deletion via subsequent 404 on GET.
Automated security test (OWASP ZAP baseline script)
zap-baseline.py -t https://api.example.com/v1/images \
-r zap_report.html \
-k \
-d \
-c zap_policy.conf
Where zap_policy.conf disables passive scans that are noisy and enables active scans for injection, path traversal, and file upload tests.
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Image Upload Testing Checklist (2026): Performance and Load Testing
Performance benchmarks
| Metric | Target (95th percentile) | Measurement method |
|---|---|---|
| Upload latency (file ≤ 5 MB) | ≤ 800 ms on 4G, ≤ 2 s on 3G | JMeter or k6 with HTTP sampler |
| Throughput (concurrent users) | ≥ 50 uploads/sec sustained for 5 min | k6 script with ramp‑up |
| CPU usage on upload worker | ≤ 60 % average | Prometheus node_exporter |
| Memory growth per upload | ≤ 5 MB (no leak) | Heap snapshot before/after batch |
| Disk I/O spikes | ≤ 30 MB/s average | iostat during test |
Sample k6 script
import http from 'k6/http';
import { check, sleep } from 'k6';
import { SharedArray } from 'k6/data';
const images = new SharedArray('test images', function () {
// load base64 strings of small test images from a JSON file
return JSON.parse(open('./test-images.json')).map(b64 => ({
payload: b64,
}));
});
export const options = {
stages: [
{ duration: '2m', target: 20 }, // ramp‑up
{ duration: '5m', target: 20 }, // stay
{ duration: '2m', target: 0 }, // ramp‑down
],
};
export default function () {
const img = images[Math.floor(Math.random() * images.length)];
const form = {
file: http.file(img.payload, 'upload.jpg', 'image/jpeg'),
caption: `k6 test ${Date.now()}`,
};
const res = http.post('https://api.example.com/v1/images', form, {
headers: { 'Authorization': `Bearer ${__ENV.TOKEN}` },
});
check(res, {
'status is 200': (r) => r.status === 200,
'upload latency < 800ms': (r) => r.timings.duration < 800,
});
sleep(1);
}
Run with:
k6 run --out json=result.json upload_test.js
Load‑testing with Locust (Python)
from locust import HttpUser, task, between
class ImageUploadUser(HttpUser):
wait_time = between(1, 3)
@task
def upload_image(self):
files = {'file': ('test.jpg', open('tests/fixtures/small.jpg', 'rb'), 'image/jpeg')}
data = {'caption': 'Locust test'}
with self.client.post("/v1/images", files=files, data=data, catch_response=True) as resp:
if resp.status_code == 200:
resp.success()
else:
resp.failure(f"Got {resp.status_code}")
---
Image Upload Testing Checklist (2026): Release Readiness and Regression
Pre‑release sign‑off checklist
| Item | Owner | Evidence |
|---|---|---|
| All happy‑path tests pass on staging | QA Lead | TestRail run ID #1245 |
| No high‑severity security findings in ZAP baseline | SecOps | ZAP report < 5 low |
| Accessibility audit score ≥ 90 % (axe) | UX Engineer | Axe report |
| Performance benchmarks met under expected load | Perf Engineer | k6 summary |
| Rollback plan documented (feature flag off) | Release Manager | Confluence page |
| Monitoring alerts configured for upload error rate > 1 % | SRE | Alertmanager rule |
| Documentation updated (API spec, user guide) | Tech Writer | PR #3321 |
| Canary deployment validated (5 % traffic) | DevOps | Grafana dashboard |
Regression test suite
- Unit tests for validation logic (size, MIME type, magic bytes).
- Contract tests (Pact) ensuring the upload endpoint contract hasn’t changed.
- API contract tests using Dredd or Postman/Newman to verify response schema.
- UI smoke test (Playwright) covering happy path, error states, and accessibility basics.
- Performance regression – compare latest k6 run against baseline stored in artifact repository; fail if latency ↑ > 20 %.
Example Pact consumer test (JavaScript)
const { Pact } = require('@pact-foundation/pact');
const path = require('path');
const provider = new Pact({
consumer: 'image-uploader-ui',
provider: 'image-service',
port: 1234,
log: path.resolve(process.cwd(), 'logs', 'pact.log'),
dir: path.resolve(process.cwd(), 'pacts'),
});
describe('Image Upload Pact', () => {
beforeAll(() => provider.setup());
afterAll(() => provider.finalize());
it('returns a URL for a valid JPEG', async () => {
await provider.addInteraction({
state: 'an image can be stored',
uponReceiving: 'a valid JPEG upload',
withRequest: {
method: 'POST',
path: '/v1/images',
headers: { 'Content-Type': 'multipart/form-data; boundary=something' },
body: // matcher for multipart omitted for brevity
},
willRespondWith: {
status: 200,
body: { url: liker('https://cdn.example.com/images/.*\\.jpg') },
headers: { 'Content-Type': 'application/json' },
},
});
const res = await chai.request(`http://localhost:${provider.port}`)
.post('/v1/images')
.set('Authorization', `Bearer ${process.env.TOKEN}`)
.attach('file', Buffer.from('fake-jpeg-data'), 'test.jpg')
.field('caption', 'pact test');
expect(res).to.have.status(200);
expect(res.body).to.have.property('url').that.matches(/^https:\/\/cdn\.example\.com\/images\/.*\.jpg$/);
});
});
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Image Upload Testing Checklist (2026): Autonomous Exploration with SUSA
SUSA (the autonomous QA platform) can exercise most of the items in this checklist without writing a single test script. When you point SUSA at your app’s upload screen (or provide the APK), it:
- Discovers the upload entry point – taps the button, opens the file picker, and attempts drag‑and‑drop on web.
- Generates varied personas – a *curious* user tries every button, an *impatient* user repeatedly taps upload while a file is still processing, a *novice* user leaves fields blank, an *adversarial* user attempts to inject scripts via filename or metadata, an *elderly* user interacts slowly to surface timing‑dependent bugs, and an *accessibility* persona navigates solely via keyboard and screen‑reader cues.
- Executes the matrix – each persona’s behavior profile drives a combination of happy‑path, error, edge, and security attempts. For example, the adversarial persona will try filenames with path‑traversal sequences, upload SVGs with script tags, and send oversized files to trigger DoS limits.
- Validates observables – SUSA checks for toasts, progress bars, network responses, console errors, and accessibility announcements. It records HTTP status, latency, and any crash or ANR.
- Creates regression scripts – after a run, SUSA exports Appium (Android) and Playwright (Web) scripts that reproduce the exact interactions it performed, giving you a ready‑to‑run test suite for CI.
- Learns across sessions – screens identified as dead ends (e.g., a modal that never dismisses) are remembered; subsequent runs skip fruitless paths and focus on new variations, improving coverage over time.
Running SUSA locally
# install the agent
pip install susatest-agent
# point at a running web app (ensure it's reachable)
susatest run --url https://staging.example.com/upload \
--personas all \
--output ./susatest-report.json \
--format junit
# for a mobile APK
susatest run --apk ./app-release.apk \
--device emulator-5554 \
--output ./susatest-mobile.json
The resulting report contains a pass/fail matrix that maps directly to the checklist items above (e.g., HP-01: PASS, EH-07: FAIL – missing boundary validation). You can then prioritize fixes based on severity and impact.
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Image Upload Testing Checklist (2026): Manual vs Automated Approaches
| Approach | Strengths | Weaknesses | When to use |
|---|---|---|---|
| Manual exploratory testing | Human intuition catches UX quirks, subtle accessibility issues, and unexpected interaction patterns. | Time‑consuming, hard to repeat, subject to tester bias. | Early‑stage feature, usability studies, ad‑hoc bug hunts. |
| Scripted UI automation (Playwright/Appium) | Repeatable, integrates into CI, fast regression, can load‑test with parallel workers. | Requires maintenance when UI changes, may miss low‑frequency edge cases that aren’t scripted. | Stable features, nightly regression, pre‑release sign‑off. |
| API‑level contract tests | Fast, isolates backend logic, easy to version with Pact. | Does not validate UI‑specific behavior (toasts, drag‑and‑drop, keyboard). | Backend‑only changes, contract verification with frontend teams. |
| Load & stress testing (k6, Locust) | Reveals performance bottlenecks, concurrency limits, resource leaks. | Needs realistic test data, may generate false alarms if not tuned to production‑like traffic. | Pre‑release performance gate, capacity planning. |
| Autonomous exploration (SUSA) | Broad coverage with minimal scripting, persona‑driven, self‑learning, produces executable scripts. | Still depends on correct test environment setup; may generate noisy reports if not filtered. | Continuous discovery, regression safety net, augmenting manual effort. |
A balanced strategy layers these techniques: start with manual exploration to understand the flow, then automate the happy path and common errors, add contract tests for the API, run load tests nightly, and let SUSA run a weekly autonomous sweep to surface regressions that slip through the cracks.
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Image Upload Testing Checklist (2026): Quick Reference Checklist
Copy this into your team’s wiki or markdown file and tick off items as you verify them.
[ ] HP-01 Single file upload via picker
[ ] HP-02 Drag‑and‑drop upload
[ ] HP-03 Multiple concurrent uploads
[ ] HP-04 Camera capture upload (mobile)
[ ] HP-05 Upload with caption/album metadata
[ ] HP-06 Resume after network interruption
[ ] EH-01 Empty picker – inline error
[ ] EH-02 Wrong MIME type – blocked
[ ] EH-03 File exceeds size limit – error
[ ] EH-04 Zero‑byte file – rejected
[ ] EH-05 Invalid filename characters – sanitized or error
[ ] EH-06 Too many concurrent uploads – queued or limited
[ ] EB-01 … EB-07 File size boundaries (0, 1, limit‑1, limit, limit+1, high‑limit, over‑high)
[ ] EB-08 … EB-12 Dimension boundaries (1×1, max‑max, over‑max, etc.)
[ ] EB-13 … EB-18 Format quirks (CMYK JPEG, PNG alpha, WebP, animated GIF, HEIC, risky SVG)
[ ] A-01 … A-04 Keyboard navigation (tab, enter, space, escape)
[ ] A-05 … A-09 Screen‑reader announcements (picker, file selected, progress, success, error)
[ ] Contrast ≥ 4.5:1, focus outline visible
[ ] ARIA labels, live region for progress, role/button for custom drop zone
[ ] S-01 … S-10 Security matrix (auth, spoofing, path traversal, SSRF, DoS, metadata, CSRF, clickjacking, rate limiting, stored XSS)
[ ] Perf targets met (latency, throughput, CPU, memory, I/O) – k6/Locust baseline
[ ] Release sign‑off checklist completed
[ ] Regression suite (unit, contract, UI smoke, performance) passes in CI
[ ] SUSA autonomous run yields ≥ 90 % coverage of matrix items, generates Appium/Playwright scripts
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Takeaways
- Image upload is a high‑risk surface – it touches file system, network, database, and often third‑party services (storage, AV, image processing). A single overlooked validation can lead to storage abuse, XSS, or data leakage.
- Structure your testing – group checks into happy path, error handling, edge/boundary, accessibility, security, performance, and release readiness. Use a table to capture IDs, actions, expectations, and pass/fail criteria; this makes review and traceability trivial.
- Automate what repeats – happy path, common validation errors, and contract tests belong in CI. Use tools like Playwright/Appium for UI, k6/Locust for load, and Pact for API contracts.
- Leverage autonomous exploration – platforms such as SUSA can exercise personas you might not think to try (adversarial, elderly, accessibility‑only) and produce ready‑to‑run regression scripts, shortening the feedback loop between discovery and fix.
- Never rely solely on client‑side checks – always mirror them server‑side, verify magic bytes, enforce size limits *before* writing to disk, and sanitize filenames and metadata.
- Monitor in production – track upload latency, error rates, and storage growth. Set alerts for spikes that could indicate a newly introduced bug or an abuse attempt.
- Document and version – keep the checklist itself in source control, update it whenever the API contract or UI changes, and link each test case to a ticket or test management ID.
By following this exhaustive checklist, you’ll catch the classic “it works on my machine” slips, the nasty edge cases that only appear under load or with unusual file characters, and the accessibility or security gaps that could otherwise reach users. Happy testing!
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