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Course Outline

Software Engineering (5 Days)

Day 1: Project Management

  • Distinguishing between project management and line management, including maintenance and support
  • Project definition and various project models
  • General management rules and their application to project management
  • Different management styles
  • Unique characteristics of IT projects
  • Foundational project processes
  • Process models: Iterative, incremental, waterfall, agile, and lean
  • Project phases
  • Key project roles
  • Project documentation and other deliverables
  • Soft skills and human factors (peopleware)
  • Project management standards: PRINCE2, PMBOK, PMI, IPMA, and others

Day 2: Business Analysis and Requirements Engineering Fundamentals

  • Defining business goals
  • Business analysis, business process management, and business process improvement
  • The boundary between business and system analysis
  • System stakeholders, users, context, and boundaries
  • The necessity of requirements
  • Understanding requirements engineering
  • The boundary between requirements engineering and architectural design
  • Where requirements engineering is often overlooked
  • Requirements engineering in iterative, lean, and agile development, including continuous integration – FDD, DDD, BDD, TDD
  • Core requirements engineering process, roles, and artifacts
  • Standards and certifications: BABOK, ISO/IEEE 29148, IREB, BCS, IIBA

Day 3: Architecture and Development Fundamentals

  • Programming languages – structural and object-oriented paradigms
  • Object-oriented development – assessing its historical context and future relevance
  • Architectural qualities: modularity, portability, maintainability, and scalability
  • Definition and types of software architectures
  • Enterprise architecture vs. system architecture
  • Programming styles
  • Programming environments
  • Common programming mistakes and prevention strategies
  • Modeling architecture and components
  • SOA, Web Services, and microservices
  • Automated builds and continuous integration
  • The extent of architecture design in a project
  • Extreme programming, TDD, and refactoring

Day 4: Quality Assurance and Testing Fundamentals

  • Product quality definitions, ISO 25010, FURPS, etc.
  • Product quality, user experience, Kano Model, customer experience management, and total quality
  • User-centered design, personas, and methods to personalize quality
  • Just-enough quality
  • Quality Assurance (QA) vs. Quality Control (QC)
  • Risk strategies in quality control
  • QA components: requirements, process control, configuration and change management, verification, validation, testing, static testing, and static analysis
  • Risk-based quality assurance
  • Risk-based testing
  • Risk-driven development
  • Boehm’s curve in quality assurance and testing
  • The four testing schools – determining which fits your needs

Day 5: Process Types, Maturity, and Process Improvement

  • The evolution of IT processes: from Alan Turing to Big Blue and lean startup
  • Processes and process-oriented organizations
  • History of processes in crafts and industries
  • Process modeling: UML, BPMN, and more
  • Process management, optimization, re-engineering, and process management systems
  • Innovative process approaches: Deming, Juran, TPS, Kaizen
  • Is quality free? (Philip Crosby)
  • Historical context and need for maturity improvement: CMMI, SPICE, and other scales
  • Specialized maturity models: TMM, TPI (for testing), Requirements Engineering Maturity (Gorschek)
  • Process maturity vs. product maturity: correlations and causal relationships
  • Process maturity vs. business success: correlations and causal relationships
  • A critical lesson: Automated Defect Prevention and the next leap in productivity
  • Initiatives: TQM, Six Sigma, agile retrospectives, process frameworks

Requirements Engineering (2 Days)

Day 1: Requirements Elicitation, Negotiation, Consolidation, and Management

  • Finding requirements: what, when, and who
  • Stakeholder classification
  • Overlooked stakeholders
  • Defining system context and identifying requirements sources
  • Elicitation methods and techniques
  • Prototyping, personas, and requirements elicitation through testing (exploratory and other methods)
  • Marketing-driven requirements elicitation – MDRA ('Market-Driven Requirements Engineering')
  • Prioritizing requirements: MoSCoW, Karl Wiegers, and other techniques (including agile MMF)
  • Refining requirements – agile 'specification by example'
  • Requirements negotiation: conflict types and resolution methods
  • Resolving internal incongruence among requirement types (e.g., security vs. ease of use)
  • Requirements traceability – why and how
  • Requirements status changes
  • Requirements Change Control Management (CCM), versioning, and baselines
  • Product view vs. project view on requirements
  • Product management and requirements management in projects

Day 2: Requirements Analysis, Modeling, Specification, Verification, and Validation

  • Analysis as the thinking process between elicitation and specification
  • The iterative nature of the requirements process, even in sequential projects
  • Describing requirements in natural language: risks and benefits
  • Requirements modeling: benefits and costs
  • Guidelines for using natural language in requirements specification
  • Defining and managing a requirements glossary
  • UML, BPMN, and other formal/semi-formal modeling notations for requirements
  • Using document and sentence templates for requirement descriptions
  • Requirements verification – goals, levels, and methods
  • Validation – via prototyping, reviews, inspections, and testing
  • Requirements validation vs. system validation

Testing (2 Days)

Day 1: Test Design, Test Execution, and Exploratory Testing

  • Test design: selecting the optimal use of time and resources after risk-based testing
  • Test design 'from infinity to here' – exhaustive testing is impossible
  • Test cases and test scenarios
  • Test design across various test levels (from unit to system)
  • Test design for static and dynamic testing
  • Business-oriented vs. technique-oriented test design ('black-box' and 'white-box')
  • Negative testing (breaking the system) and acceptance testing (supporting developers)
  • Achieving test coverage – various coverage measures
  • Experience-based test design
  • Designing test cases from requirements and system models
  • Test design heuristics and exploratory testing
  • When to design test cases? – traditional vs. exploratory approaches
  • Describing test cases – determining the appropriate level of detail
  • Test execution – psychological aspects
  • Test execution – logging and reporting
  • Designing tests for 'non-functional' testing
  • Automatic test design and Model-Based Testing (MBT)

Day 2: Test Organization, Management, and Automation

  • Test levels (or phases)
  • Who performs testing and when? – various solutions
  • Test environments: cost, administration, access, and responsibility
  • Simulators, emulators, and virtual test environments
  • Testing in agile scrum
  • Test team organization and roles
  • Test process
  • Test automation – what can be automated?
  • Test execution automation – approaches and tools
 63 Hours

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