QASphere

AI-Powered Test Management Platform

✳️ Simple
✳️ Speedy
✳️ Secure

Empowering teams to deliver quality software faster 🚀

[QASphere @QASphereHQ]

Writing test cases manually for an 8-story sprint used to take 2-3 days.

With AI test generation, it takes about an hour - including review.

The workflow in QA Sphere:

1️⃣ Paste the user story or acceptance criteria
2️⃣ Select test case types: happy path, negative, edge cases, boundary values
3️⃣ Review generated cases - typically 80-90% are usable as-is
5️⃣ Edit the few that need adjustment
6️⃣ Save to your test suite - immediately available for test runs

⭐ The most important thing to know: output quality depends almost entirely on input quality. Vague requirements produce vague test cases. Specific acceptance criteria produce specific, actionable test cases.

AI handles volume and breadth well. It generates edge cases and negative scenarios that manual test writing tends to skip. What it doesn't replace: domain knowledge, exploratory testing, and judgment on complex multi-step workflows.

Step-by-step guide including what to include in your input, where AI generation adds the most value, and how to integrate it into sprint planning:
https://t.co/5c4dq1bnnG

#AI #TestCaseGeneration #QA #AITesting #QualityAssurance #SoftwareTesting

[QASphere @QASphereHQ]

Join us Tuesday, June 23 for a free live webinar:
Manual + Automated testing in one workspace.

Everyone's welcome, bring your questions.
In 30 minutes you'll see:

- AI generating test cases from raw requirements
- Cypress/Playwright results pushed via CLI in one command
- Both tracks on one dashboard, traced to Jira

Free to attend, 5:00 PM CEST → https://t.co/DCaVOSUm1D

[QASphere @QASphereHQ]

See the entire changelog at
https://t.co/Ln4Lp3aIzp

[QASphere @QASphereHQ]

QA Sphere 26W22 is out. Sharper reporting, smoother test run visibility, enterprise-grade SSO, and SCIM provisioning. Plus richer Slack notifications, Jira service accounts, and quality-of-life fixes. 🧵

[QASphere @QASphereHQ]

Fixes
🔹 Smarter AI duplicate detection for copied test cases and folders.
🔹 Fixed Git project count display on the Integrations page.
🔹 Fixed loader alignment on the Bulk Write with AI page.
🔹 Subscription updates now reflect in the UI immediately.

[QASphere @QASphereHQ]

𝗜𝗳 𝗤𝗔 𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝗮𝘁 𝘁𝗵𝗲 𝗲𝗻𝗱 𝗼𝗳 𝘆𝗼𝘂𝗿 𝘀𝗽𝗿𝗶𝗻𝘁, 𝘆𝗼𝘂'𝗿𝗲 𝗻𝗼𝘁 𝗱𝗼𝗶𝗻𝗴 𝗔𝗴𝗶𝗹𝗲 𝗤𝗔.

You're doing waterfall in 2-week cycles.
QA in Agile is continuous - not a gate. In practice:

⭐ Sprint planning: QA reviews stories for testability, flags ambiguous acceptance criteria before a single line is written.

⭐ During development: test cases written alongside code, exploratory testing as features become available.

⭐ Sprint end: regression run confirms no regressions, quality report produced before the release decision.

⭐ Retrospective: defect trends reviewed, coverage gaps identified, process improved.

The most common anti-pattern: testing happens only in the last 2 days of the sprint. Stories that fail have no time to be fixed and re-tested. Velocity looks fine. Quality doesn't.

Complete guide to integrating QA across every sprint phase - including the Agile testing pyramid, Scrum vs. Kanban approaches, and the anti-patterns that quietly destroy sprint quality:

➡️ https://t.co/Yen6tY1tYO

#AgileQA #Agile #QA #SoftwareTesting #Scrum #QualityAssurance

[QASphere @QASphereHQ]

𝗠𝗼𝘀𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗯𝘂𝗴𝘀 𝗮𝗿𝗲𝗻'𝘁 𝗻𝗲𝘄 𝗯𝘂𝗴𝘀. 𝗧𝗵𝗲𝘆'𝗿𝗲 𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀 - 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝗲𝗱 𝗳𝗶𝗻𝗲 𝘂𝗻𝘁𝗶𝗹 𝘁𝗵𝗲 𝗹𝗮𝘀𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲 𝗯𝗿𝗼𝗸𝗲 𝘁𝗵𝗲𝗺.

Regression testing is the QA investment with arguably the highest ROI:

1️⃣ A regression caught in testing: minutes to triage, hours to fix.
2️⃣ A regression caught in production: days of debugging, customer trust damage, incident comms.

The three mistakes teams make most often:

📌 Running regression only before major releases instead of every release

📌 Not maintaining the suite (outdated tests cause false-alarm fatigue and get ignored)

📌 No prioritization - running 2,000 tests equally regardless of what changed

A well-run regression suite doesn't need to be exhaustive. It needs to be fast, current, and focused on high-risk areas.

Read more: https://t.co/YfdtvXbqT6

#QASphere #QA #TestManagement

[QASphere @QASphereHQ]

"𝗝𝘂𝘀𝘁 𝘂𝘀𝗲 𝗝𝗶𝗿𝗮 𝗳𝗼𝗿 𝘁𝗲𝘀𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁" - 𝗮𝗱𝘃𝗶𝗰𝗲 𝘁𝗵𝗮𝘁 𝘀𝗼𝘂𝗻𝗱𝘀 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗮𝗻𝗱 𝗼𝗳𝘁𝗲𝗻 𝗶𝘀𝗻'𝘁.

There are three distinct approaches teams take, and they have very different outcomes:

1. Jira plugin - test cases live inside Jira. Convenient, but expensive and limited on reporting.

2. Native Jira without a plugin - just using issues for test cases. Works at small scale. Breaks down when you need traceability, versioning, and regression tracking.

3. Standalone test management + Jira integration - separate platform that syncs defects to Jira bidirectionally. More setup, but proper test case management with full Jira connectivity.

The right choice depends on team size, testing volume, and your budget.

📌 Full guide covering all three approaches, when each makes sense, and what teams get wrong: https://t.co/WCyD8UPYVn

#Jira #TestManagement #QA #SoftwareTesting #AgileQA

[QASphere @QASphereHQ]

Hypersequent's CEO @AndrianBudantsov was featured in @bm_uae_ 📰

On building a global software company from Dubai, why reliability is now a leadership issue, and the right way to use AI in QA , without creating false confidence.

Full interview → https://t.co/aVusYGcm0M

#SoftwareTesting #QA #Dubai #TechFounder

[QASphere @QASphereHQ]

Your test results: JUnit XML, Playwright JSON, Allure.

Your problem: manually uploading them.

QAS CLI solves it. One command uploads everything, links to existing test cases, creates new ones, closes the run.

Works from any CI pipeline.
npm install -g qas-cli

https://t.co/mQNkltYvhs
https://t.co/lP8YdkKXBQ

#TestAutomation #DevOps

[QASphere @QASphereHQ]

𝗠𝗼𝘀𝘁 𝗤𝗔 𝘁𝗲𝗮𝗺𝘀 𝘁𝗿𝗮𝗰𝗸 𝘁𝗲𝘀𝘁 𝗽𝗮𝘀𝘀 𝗿𝗮𝘁𝗲. 𝗧𝗲𝘀𝘁 𝗽𝗮𝘀𝘀 𝗿𝗮𝘁𝗲 𝗶𝘀 𝗮𝗹𝗺𝗼𝘀𝘁 𝘂𝘀𝗲𝗹𝗲𝘀𝘀.

A 95% pass rate on a suite that doesn't cover critical paths tells you nothing. A 70% pass rate on a well-designed regression suite tells you a lot.

The metrics that actually matter:

- Defect escape rate - how many bugs reach production that testing should have caught

- Test coverage - what percentage of requirements have test cases

- MTTD/MTTR - how fast you find and fix defects

- DRE (Defect Removal Efficiency) - ratio of pre-production to post-production defects

We published a full guide covering 15+ QA metrics, how to measure them, and how to build a dashboard that gives leadership a real quality signal instead of vanity numbers.

https://t.co/NY0KPXGg5d

#QA #QAMetrics #QualityAssurance #SoftwareTesting #QALeadership