Software Engineering, Requirements Engineering and Testing Training Course

Project Governance and Management

• Distinctions between project management, line management, and operational maintenance
• Project initiation, charters, and documentation frameworks
• Governance principles and managerial oversight
• Leadership and management methodologies
• Unique characteristics and challenges of information technology initiatives
• Standard project lifecycle stages
• Methodologies: iterative, incremental, waterfall, agile, and lean approaches
• Phase definitions and transitions
• Roles and responsibilities within project teams
• Project deliverables, documentation, and artifacts
• Human factors and interpersonal dynamics
• Industry standards and frameworks: PRINCE2, PMBOK, PMI, IPMA, and others

Business Analysis and Requirements Engineering Foundations

• Establishing organizational objectives
• Business analysis, process management, and process improvement strategies
• Differentiating between business and system analysis domains
• Stakeholder identification, user classification, and system scope definition
• The necessity of formal requirements
• Definition and scope of requirements engineering
• Distinctions between requirements engineering and architectural design
• Identification of requirements engineering activities within project structures
• Requirements engineering in iterative, lean, and agile environments, including continuous integration; methods such as Feature-Driven Development (FDD), Domain-Driven Design (DDD), Behavior-Driven Development (BDD), and Test-Driven Development (TDD)
• Core requirements engineering processes, roles, and deliverables
• Standards and professional certifications: BABOK, ISO/IEEE 29148, IREB, BCS, IIBA

System Architecture and Development Principles

• Programming paradigms: procedural and object-oriented
• Object-oriented development: current relevance and future trajectory
• Architectural attributes: modularity, portability, maintainability, and scalability
• Software architecture definitions and typologies
• Enterprise architecture versus system architecture
• Programming conventions and styles
• Integrated development environments and tooling
• Common programming errors and preventive measures
• Architecture and component modeling techniques
• Service-Oriented Architecture (SOA), Web Services, and microservices
• Automated build processes and continuous integration
• Extent of architecture design activities within project lifecycles
• Extreme Programming (XP), Test-Driven Development (TDD), and refactoring practices

Quality Assurance and Testing Fundamentals

• Product quality metrics: ISO 25010, FURPS, and related standards
• Quality, user experience, Kano Model, customer experience management, and total quality
• User-centered design, persona development, and personalized quality strategies
• Optimal quality thresholds ("just-enough" quality)
• Distinctions between Quality Assurance (QA) and Quality Control (QC)
• Risk mitigation strategies in quality control
• QA components: requirements, process control, configuration and change management, verification, validation, testing, static analysis, and static testing
• Risk-based quality assurance methodologies
• Risk-based testing strategies
• Risk-driven development practices
• The Boehm curve in the context of QA and testing cost-efficiency
• Major testing paradigms: selection criteria for specific operational needs

Process Maturity and Continuous Improvement

• Evolution of IT processes: from early computing to lean startup methodologies
• Process-centric organizational structures
• Historical context of process standardization in industry
• Process modeling standards: UML, BPMN, and others
• Process management, optimization, re-engineering, and management systems
• Process improvement philosophies: Deming, Juran, Toyota Production System (TPS), Kaizen
• Economic impact of quality: perspectives on process quality costs (Philip Crosby)
• History and frameworks for maturity improvement: CMMI, SPICE, and other scales
• Specialized maturity models: TMM, TPI (testing), and Requirements Engineering Maturity (Gorschek)
• Correlations between process maturity and product maturity: causal relationships
• Correlations between process maturity and organizational success: causal relationships
• Automated Defect Prevention: historical lessons and productivity gains
• Improvement initiatives: Total Quality Management (TQM), Six Sigma, agile retrospectives, and process frameworks

Requirements Elicitation, Negotiation, Consolidation, and Management

• Requirements discovery: identification of content, timing, and responsible parties
• Stakeholder classification and analysis
• Identification of overlooked stakeholders
• Defining system context and sourcing requirements
• Elicitation methods and techniques
• Utilizing prototyping, personas, and exploratory testing for requirements gathering
• Market-Driven Requirements Engineering (MDRA) and marketing alignment
• Requirements prioritization: MoSCoW, Karl Wiegers’ techniques, and agile Multi-Attribute Utility Theory (MAUT)
• Refining requirements through agile "specification by example" methods
• Requirements negotiation: conflict types and resolution strategies
• Resolving internal conflicts between requirement types (e.g., security versus usability)
• Requirements traceability: objectives and implementation
• Managing requirements status transitions
• Requirements Change Control (CCM), versioning, and baseline management
• Differentiating product-oriented versus project-oriented requirements views
• Integrating product management with project requirements management

Requirements Analysis, Modeling, Specification, Verification, and Validation

• Analysis as the iterative thinking process between elicitation and specification
• Iterative nature of the requirements process, including in sequential projects
• Risks and benefits of natural language requirements description
• Cost-benefit analysis of requirements modeling
• Guidelines for using natural language in specification
• Establishment and maintenance of requirements glossaries
• Formal and semi-formal modeling notations: UML, BPMN, and others
• Utilization of document and sentence templates for requirement description
• Verification objectives, levels, and methodologies
• Validation through prototyping, reviews, inspections, and testing
• Differentiating requirements validation from system validation

Test Design, Execution, and Exploratory Testing

• Test design following risk-based analysis: optimizing time and resource allocation
• Limitations of exhaustive testing ("from infinity to here")
• Development of test cases and scenarios
• Test design across testing levels (unit to system)
• Test design for static and dynamic testing activities
• Business-oriented versus technique-oriented design (black-box and white-box)
• Negative testing to identify defects and acceptance testing to support developers
• Achieving test coverage through various measurement metrics
• Experience-based test design methodologies
• Deriving test cases from requirements and system models
• Heuristics for test design and exploratory testing techniques
• Timing of test case design: traditional versus exploratory approaches
• Detail levels in test case documentation
• Psychological aspects of test execution
• Logging and reporting during test execution
• Designing tests for non-functional requirements
• Automated test design and Model-Based Testing (MBT)

Test Organization, Management, and Automation

• Testing levels and phases
• Testing responsibilities and timing: various operational models
• Test environment considerations: cost, administration, access, and accountability
• Use of simulators, emulators, and virtualized test environments
• Testing within agile Scrum frameworks
• Test team structure and role definitions
• Test process workflows
• Test automation scope: identifying automatable activities
• Automation approaches and tooling for test execution