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:

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