AI-Based Manual Test Case Generation With CoTester
Turn your user stories into executable manual tests without wasting time. CoTester applies AI-driven manual test case creation directly to your live requirements so you can validate behavior while development is still moving. No backlogs, no rewriting, no waiting on scripts.
Generate Manual Test Cases From Real Requirements
Import your user stories from JIRA or upload them as PDF, Word, and CSV files. CoTester reads intent, acceptance criteria, and user flow, then produces structured manual test cases you can run as-is. You decide the depth of coverage for each story. One test or many. Every step remains editable.
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Review and Shape Test Steps Before Running Anything
Open test cases in a live editor on CoTester, where you refine steps, tighten validations, and place checkpoints where failure would carry risk. Execution begins only after your review is complete. Generation happens in minutes. Control stays with you—just how it should be.
Easily Execute Manual Tests on Real Browsers and Devices
Watch workflows unfold exactly as users experience it. When a failure appears, you can flag it at the point of occurrence. You can record observations for later review and refinement. Manual testing remains connected to the same test generated from the story in the first place.
Log Defects With Evidence, Not Memory
CoTester enables you to capture failures directly during execution with screenshots and full execution logs. Each issue remains tied to the same test generated from the original story and runs inside the platform. You avoid delayed reporting and missing context during review and follow-up.
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Maintain End-to-End Traceability, Always
Every manual test on CoTester remains connected to its originating requirement. You can track the user story to test relationships, execution state by scenario, and defect history across test cycles. Review remains continuous across regressions without manual reconciliation.
Extend Verified Manual Tests Into Automation When Needed
When a manual test is ready for repeatable execution, you can use it as the blueprint for automation. CoTester reads the validated steps and generates automation flows that stay linked to the same story and manual test case. Avoid rebuilding scripts from scratch.
Frequently Asked Questions (FAQs)
How to generate manual test cases using AI?
CoTester generates manual test cases directly from your user stories. You upload a story from JIRA, PDF, Word, or CSV. The system reads the intent, acceptance criteria, and user flow, then produces structured manual test steps you can review and edit before running. This is AI-driven manual test case creation with full human control at every stage.
How to generate manual test cases using AI?
CoTester generates manual test cases directly from your user stories. You upload a story from JIRA, PDF, Word, or CSV. The system reads the intent, acceptance criteria, and user flow, then produces structured manual test steps you can review and edit before running. This is AI-driven manual test case creation with full human control at every stage.
What are the steps to create manual test cases with AI?
The process is straightforward. Upload or link your user story. Review the generated manual test steps. Refine validations, edit steps, and add checkpoints where risk exists. Approve the test and run it on real browsers or devices. This is manual test case generation using AI without locking you into black-box behavior.
What are the steps to create manual test cases with AI?
The process is straightforward. Upload or link your user story. Review the generated manual test steps. Refine validations, edit steps, and add checkpoints where risk exists. Approve the test and run it on real browsers or devices. This is manual test case generation using AI without locking you into black-box behavior.
How to use AI for manual test case generation inside CoTester?
You use CoTester as part of your normal requirement workflow. Upload or link the story, review the generated test, and run it after approval. Failures can be flagged during the run, observations can be added to steps, and the same test can later serve as the basis for automation if needed. This keeps AI inside your testing process, not outside it.
How to use AI for manual test case generation inside CoTester?
You use CoTester as part of your normal requirement workflow. Upload or link the story, review the generated test, and run it after approval. Failures can be flagged during the run, observations can be added to steps, and the same test can later serve as the basis for automation if needed. This keeps AI inside your testing process, not outside it.