Zapewnienie jakości oprogramowania – przegląd metodyk

Training goal

Review and practical training of the most effective methodologies to effectively ensure the proper quality of software using the most economical means.

target group

Quality managers in organizations and projects, project managers, scrum masters, analysts, test managers, film owners, project sponsors, product owners.

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