Test Case and Defect Analysis for User Acceptance Testing Support: Forms and Interactions

Data for this category comes from requirement specification documents, test environment configurations, client business sample materials, and defect

What the data for this category looks like

Data for this category comes from requirement specification documents, test environment configurations, client business sample materials, and defect management systems. The update frequency is once per delivery phase or software version iteration. Daily deliverable documents include UAT cases, acceptance issue tickets, acceptance reports, and signed confirmation forms. UAT cases contain test scenario, precondition, and operation step fields. Acceptance issue tickets link to corresponding case IDs, reproduction steps, and severity levels. All document fields are bound to business scenarios and client confirmation nodes, with no extra redundant statistical items, and are compatible with FastGPT v4.17.0 form interaction logic.

What constraints these characteristics impose on forms and interactions

This category’s data characteristics impose clear constraints on forms and interactions. Data is bound to client business scenarios. Relevant business field mapping must be implemented by external business systems or subsequent workflow nodes. Form input nodes can only be configured with custom fields to adapt to different clients’ acceptance criteria. Following the phase or version update rhythm, external business systems or subsequent workflow nodes must support versioned saving of cases and issue tickets to avoid iteration conflicts. The linked document structure requires external business systems or subsequent workflow nodes to implement two-way association between cases and issue tickets, facilitating traceability of problem sources. For the most time-consuming case preparation and categorization steps, relevant batch import and batch categorization operation entrances must be implemented by external business systems or subsequent workflow nodes. For error risks directly affecting project closure, mandatory validation and final confirmation nodes must be forcibly configured.

How to set configurations

Configuration ItemRecommended ApproachRationale
Form input node formInputTest example: Select 3 fields from user acceptance testing support as mandatory inputs; actual fields are determined by the taskThis node collects user input; missing mandatory items require checking interaction status to prevent subsequent nodes from receiving incomplete input
User selection node userSelectTest example: Set 2 business options, check corresponding branches one by oneThis node handles user selection; querying and filtering records related to user acceptance testing support must be implemented by subsequent interfaces or external systems
Field passing after submissionTest example: Prepare 10 user acceptance testing support input samples, covering full completion, missing mandatory items, and canceled operationsCompare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined by actual tasks
External implementation item: Version saving settingsMust be implemented separately by external systems; must be implemented by external business systems or subsequent workflow nodes, retaining the last 5 phase historical versionsMatches the phase-based update frequency, facilitating traceability of cases and issue tickets from different versions
External implementation item: Batch operation permissionsMust be implemented separately by external systems; must be implemented by external business systems or subsequent workflow nodes to batch import cases and batch categorize issues; permission configuration matches the operation scope of corresponding rolesReduces time spent on case preparation and issue reproduction categorization
External implementation item: Mandatory validation rulesMust be implemented separately by external systems; forcibly enable for case ID, reproduction step, and severity level fieldsAvoids acceptance delay risks caused by missing fields

Three common errors

  • Phenomenon: When configuring the optional user range for the userSelect node, front-end drag-and-drop operations lag after selecting linked variables; lag resolves after removing the corresponding variable. Cause: The number of linked variables is not limited, and excessive context data causes excessive front-end rendering resource usage.
  • Phenomenon: When generating acceptance issue tickets via API calls, the returned results differ significantly from those generated via online chat. Cause: The API call does not synchronize the current project's UAT case knowledge base configuration, only using default knowledge base data.
  • Phenomenon: When configuring functions related to problem optimization linked to external business systems, the model configured via environment variables cannot be selected. Cause: The call permission for environment variables is not opened to the corresponding workflow node, causing the model selection list to only display locally configured models.

How to confirm the configuration is complete

  • Check whether the custom fields configured for the formInput node in FastGPT v4.17.0 include the core business fields of UAT cases and acceptance issue tickets, and confirm that the number and type of custom fields meet the current project's requirement specifications.
  • Verify that the version saving function of the external business system or subsequent workflow nodes can normally generate historical versions and trace the configuration data of corresponding phases.
  • Test whether the batch import and categorization operations of the external business system or subsequent workflow nodes can be triggered normally, and confirm that the permission configuration matches the operation scope of corresponding roles.
  • Check whether the mandatory validation rules take effect for core fields, and whether corresponding prompts are triggered when empty fields are submitted.

The values provided here are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.