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Course Outline

Introduction to Automated Quality Assurance

  • Fundamental Principles of Test Automation
    • Operational advantages of automated validation
    • Classification of testing: Functional versus Non-functional
  • Contextualizing the Client’s Technical Environment
    • System overview of Oracle APEX
    • Foundational concepts of .Net Core
    • Application of machine learning in algorithmic code

Survey of Automation Tools

  • Selenium Framework
    • Configuration of Selenium WebDriver
    • Development and execution of test scripts
    • Recommended methodologies for Selenium implementation
  • TestComplete Suite
    • Overview of TestComplete capabilities
    • Creation of automated tests across diverse applications
    • Interoperability of TestComplete with supplementary tools

Comprehensive Analysis of Selenium Automation

  • Advanced Selenium Applications
    • Management of dynamic web elements
    • Cross-browser validation protocols
    • Synergy with TestNG and JUnit frameworks
  • Framework Architecture Development
    • Implementation of Page Object Model (POM)
    • Data-driven and keyword-driven testing structures
    • Continuous integration pipelines with Jenkins

Advanced Capabilities in TestComplete

  • Scripting and Process Automation
    • Supported scripting languages within TestComplete
    • Automation of desktop, web, and mobile platforms
  • Test Customization Strategies
    • Development of custom checkpoints
    • Exception and error handling mechanisms

Integration with Oracle APEX and .Net Core

  • Validation of Oracle APEX Applications n
    • Automated testing strategies for APEX environments
    • Specialized tools and practices for APEX
  • Automation within .Net Core Ecosystem
    • Setup of test project infrastructure
    • Unit testing using xUnit
    • Integration and end-to-end validation processes

Machine Learning in Automated Testing

  • Introduction to ML in Quality Assurance
    • Core principles of machine learning
    • Operational use cases of ML in test automation
  • Deployment of Machine Learning Algorithms
    • Creation of algorithms for predictive analytics
    • Integration of ML components with automation frameworks

Maintenance and Manual Development of New Applications

  • Fundamental Manual Testing Practices
    • Manual testing methodologies
    • Drafting effective test cases and strategic plans
  • Migration from Manual to Automated Testing
    • Identification of suitable candidates for automation
    • Best practices for sustaining test script integrity

Digital HCM/NPP and External Procurement Strategies n

  • Overview of Digital HCM/NPP
    • Technologies and tools utilized in HCM
    • Automation strategies for HCM application management
  • Oversight of Outsourced Testing Initiatives
    • Best practices for managing external vendors
    • Assurance of quality and consistency in outsourced deliverables

Alternative Tools and Technological Solutions n

  • Assessment of Jtest and SOAtest
    • Functional attributes of Jtest and SOAtest
    • Alignment with the client’s operational requirements
  • Evaluation of Alternative Automation Tools
    • Exploration of additional tools (e.g., Katalon Studio, Postman for API validation)
    • Strategies for integration and technological transition

Practical Workshops and Real-World Application n

  • Interactive Practical Sessions n
    • Guided laboratories using Selenium and TestComplete
    • Simulation of realistic testing scenarios
  • Case Studies and Capstone Project
    • Collaborative project to deploy a comprehensive automation solution
    • Demonstration and peer evaluation processes

Conclusions and Recommended Follow-up Actions n

Requirements

  • Foundational knowledge of programming logic and concepts
  • Prior exposure to software validation methods (manual or automated)
  • Competence with web technologies and established development frameworks

Target Audience

  • Specialized Automation Testers
  • Quality Assurance Engineers
  • Software Developers
  • IT Professionals responsible for software maintenance and validation for government operations
 35 Hours

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