Test Automation for DIEP POS

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Test Automation for DIEP POS by Mind Map: Test Automation for DIEP  POS

1. Risk & Contingencies

2. Benefits

2.1. Automated workflow related validations will save time during functional testing of specific implementations

2.2. Defect pertaining to workflows can be reduced as part of this activity.

3. Testing approach

3.1. DIEP Workflow Automation

3.1.1. Test cases for workflows

3.1.2. Automated testing of Workflows

3.1.2.1. DIEP-PAS SSO

3.1.2.2. DIEP-PAS ESignature

3.1.2.3. DIEP-PAS PolicyInfoCRUD

3.1.2.4. DIEP-PAS Rater

3.1.2.5. DIEP-PAS Notification

3.1.2.6. DIEP-PAS GeneratePolicyNo

3.1.3. Test automation tool

3.1.3.1. Katalon

3.1.3.1.1. Data point assertions with custom functions

3.1.3.1.2. Analytics & reporting with Extend report

3.1.3.1.3. API Validation

3.1.3.1.4. Database Validation

3.1.3.1.5. API cum Database sequence validations

3.1.3.1.6. Service Layer validations

3.1.3.2. Custom Java test framework

3.1.3.2.1. Data point assertions with custom functions

3.1.3.2.2. Analytics & reporting with Extend report

3.1.3.2.3. API Validation

3.1.3.2.4. Database Validation

3.1.3.2.5. API cum Database sequence validations

3.1.3.2.6. Service Layer validations

3.2. Automation of DIEP workflow Implementation

3.2.1. Automation to run Sequence of workflows

3.2.1.1. Sequence is Configurable

3.2.1.1.1. 1) DIEP-PAS SSO 2) DIEP-PAS PolicyInfoCRUD and 3) DIEP-PAS Rater

3.2.1.1.2. 1) DIEP-PAS Database Activity 2) DIEP-PAS Data services and 3) DIEP-PAS DMS

3.2.1.1.3. 1) DIEP-PAS PolicyInfoCRUD 2) DIEP-PAS GeneratePolicyNo and 3) DIEP-PAS DMS

3.2.1.1.4. 1) DIEP-PAS Database Activity 2) DIEP-PAS Notification 3) DIEP-PAS Database Activity 4) DIEP-PAS ESignature and 5) DIEP-PAS Commit Tx

3.2.1.1.5. Other Possible Sequences

3.2.1.2. Project specific settings will be included

3.2.1.3. Verification of data in Database and various third party API output (Rater, Notification, SSO, IFC)

3.2.2. Test automation tool

3.2.2.1. Custom Java test framework

3.2.2.1.1. Data point assertions with custom functions

3.2.2.1.2. Analytics & reporting with Extend report

3.2.2.1.3. API Validation

3.2.2.1.4. Database Validation

3.2.2.1.5. API cum Database sequence validations

3.2.2.1.6. Service Layer validations

3.2.2.2. Katalon

3.3. Release one by one to Jenkins pipeline(Rater first)

4. Next steps

4.1. Feasibility study

4.1.1. Identify issues and quantify efforts from existing implementations which could have been avoided using the testing approach

4.1.1.1. HO3

4.1.1.2. Umbrella

4.2. Tool Finalization

4.3. Planning of efforts required for workflow testing

4.4. Review

5. Out of Scope for now

5.1. Activity Automation

5.2. UI Automation

5.3. Load testing