Course Outline

Block 1: Basic concepts

  • Process quality, design quality and product quality
  • Quality integral in the organization
    • Integral quality and customer experience management
    • Integral quality and socially responsible business
    • Elementy integral quality
  • Psychological and social aspects of quality
  • Is software (and quality) engineering full of misleading superstitions?
  • Workshop 1 – avoiding costly misunderstandings

Block 2: Quality measures

  • Traditional process quality measures: CMMI, SPICE
  • Contextual measures of process quality
  • The number of lines of correct code per employee as a measure of process quality
  • Is process quality free? Deming, Juran, Kanban, PB Crosby
  • Product quality measures:
    • Quality attributes
    • Quality attribute weights
    • Kano diagram
    • Inner quality and outer quality

Block 3: Optimization of quality investments

  • Costs of preventing errors and costs of errors – searching for a golden mean
  • Optimizing the distribution of investments in various quality assurance methods
  • Optimizing the performance of various quality assurance methods:
    • Trial and error method and predictive methods
    • Split costs between specification and execution
    • Optimal share of tool support costs

Block 4: Automatic error prevention and leaps in performance

  • Software as a motor and not a brake of business - A. Kolawa
  • One-time software
  • Prevention instead of repair, production line instead of factory
  • Process quality as a necessary condition for high work efficiency
  • Methods for implementing a high-performance software development process:
    • Removal of systematic causes of errors
    • Error prevention is an integral element of the production process
    • Automation of standard preventive and control activities
    • Automatically capture objective data on project and product status

Block 5: Quality assurance

  • Quality assurance and quality control
  • Quality assurance through requirements engineering methods
  • Quality management and project management
  • Configuration and change management
  • Quality in the context of software architecture
  • High quality programming
  • Testing – quality control and error prevention
  • Psychological factors of quality assurance
 14 Hours

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