The article presents a draft framework for a Pricefx Quality Assurance Test Plan, covering components such as defining quality, data mapping, pricing logics testing, peer reviews, compliance, risk analysis, and success metrics. It outlines high-level descriptions, data ownership, logic testing, peer reviews, test cases, compliance, and defect management.
The key components of the Quality Assurance Test Plan outlined in the article are:
High-level QA test plan
Data test plan mapping
Pricing logics test plan
Peer reviews
Test cases
Compliance
Risk analysis
Success metrics
The major components of our QA Test Plan are:
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This is a draft outline for collaboration on the design of a Pricefx QA test plan framework.
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QA Test Plan High-Level
The high-level descriptions for the QA plan include defining quality and added value, establishing a QA vision statement, outlining the QA scope, formalizing standards, addressing data migration processing, operational processing, and test cases. Additionally, it covers project QA compliance and the creation of a test plan along with test cases.
Identification of high-level descriptions for QA plan.:
Definition of Quality (added value)
QA Vision statement
QA Scope
Formalization of standards
Data Migration processing:
Data Requirements (BA, Data Readiness Mgr)
Data Quality (IE)
Transform Process (IE)
CI, SI and custom Dashboards (SA, CE)
Operational processing:
Business Requirements (BA)
Operation code (logic)
Operational data
System integration
Reporting
Test cases:
Black box
White box
Functional flow (design patterns)
View patterns (UI/UX)
Model patterns (database access)
Controller patterns (business logic)
Grey box
Project QA compliance
Test Plan + test cases
Data Test Plan (Logical to Physical Mapping)
This part of our QA Test Plan outlines various aspects related to data ownership, data model entities, source systems, data stewardships, mappings, business rules, data migration QA, peer review standards, and test cases. It also includes details about data validation, high-level metrics, augmenting the test plan, expected results, and matching to business rules.
The sections of this component are:
Data Ownership
Data Model Entities
Source systems
Data Stewardships
Mappings:
Original source
Transformations
Target
Business Rules
Dates - date + timestamp
Unique sequential keys (auto generated)
Address - fuzzy logic
Data Migration QA
Data validation
High level metric
Peer Review standards
Augment test plan
Test case(s)
Expected result
Matching to business rules
Logics Test Plan (Pricing Logics))
This part of our QA Test Plan outlines the components of a user story, including the feature (JIRA ticket), acceptance criteria, owner, and mappings such as feature dependencies, transformations, and target.
The sections of this component are:
User Story
Feature (JIRA ticket)
Acceptance Criteria
Owner
Mappings:
Feature dependencies
Transformations
Target
Peer Reviews
This part of our QA Test Plan covers peer reviews, data transformation, test cases and augmenting the test plan, validation rules, updates to the Metadata repository, source and target, transformation logic, pricing logic, acceptance rules, Business Analysis (BA) and Business Requirements Document (BRD), identifying test cases, appending to BRD, mapping to the Entity-Relationship (ER) model, and testing entities.
The sections of this component are:
Peer Reviews
Data transform
Test Case(s) + augment Test plan
Validation rules
Updates to the Metadata repository
Source
Target
Transformation logic
Pricing Logic
Test Case(s) + augment Test plan
Perfect path (Pass or Green)
Imperfect path (Fail or Yellow)
Illogical path (Reject or Red)
Acceptance rules
BA and BRD
Augment Test Plan
Identify test cases
Appendix to BRD
Test Plan and test cases
Mapped to ER model
Testing Entities
Details; Test Cases, Compliance and Risk
This part of our QA Test Plan provides details about test cases, compliance, and risk analysis. It includes various types of tests such as recovery, stress, performance, security, functional, and usability tests. The overall risk analysis involves analyzing priority attributes and providing metric measurements using matrices and weighting factors. It also covers scheduling updates for regression testing on a nightly, monthly, and quarterly basis. Additionally, it outlines different types of test cases, their expected outcomes, categorization into black-box and white-box tests, and the roles involved in each type of test.
The sections of this component are:
Compliance
Recovery
Stress test
Performance
Security
Functional
Usability
Overall Risk Analysis
Analyze risk of priority attributes
Provide metric measurement
Matrix
Weighting factors
Scheduling
Updates for regression testing
Nightly (high level)
Monthly (More granular)
Qtrly (Extensive)
Test Cases
Mapped to Entities and relationships
Types of Test cases
Standard
Customized
Expected outcome -
Benchmarks
Outliers
Minimal compliance
Functional
Usability
Categorization
Black-box
Roles: QA Team
Functional
Regression
Usability
White-box
Roles
Developer-source code
Solution Architect-Conceptual Design
IE-Data normalization and standards
Functional
Regression
Success Metrics
This part of our QA Test Plan outlines the success metrics, including the number of test cases, number of test plans, overall pass/fail rates, and tracking data quality errors. It also describes the defect management process, which involves defining defects via test cases, pinpointing areas of inspection, completing tickets, proposing resolutions, and establishing a timetable via backlog.
The sections of this component are:
Key Success metrics
Number of test cases
Number of test plans
Overall passed/failed
Tracking data quality errors-tracking (magnitude)
Defect management process
Define defect-via test case
Pinpoint area of inspection
Complete Ticket
Propose resolution
Timetable via backlog