2018-2019年世界质量报告（英文版）_70页_3mb

World Quality Report 2018-19 Summary

Core Content

The World Quality Report 2018-19 is the tenth edition of a comprehensive survey conducted by Capgemini, Sogeti, and Micro Focus. It provides an in-depth analysis of the current state and future trends in quality assurance (QA) and testing across 10 sectors and 32 countries, based on responses from 1,700 executives. The report emphasizes the evolving role of QA from a defect-finding function to a strategic enabler of customer satisfaction and business outcomes.

Main Trends and Findings

1. Shift in QA Objectives

• End-user satisfaction has become the top objective of QA and testing strategies, with a weighted average score of 5.85.
• Enhancing security and improving customer experience are also key priorities.
• Quality at Speed is a central theme, highlighting the need for QA to support fast innovation while maintaining high quality.

2. Adoption of Agile and DevOps

• 99% of organizations are using DevOps in at least some projects.
• Agile and DevOps are driving a need for faster delivery, but also creating challenges in maintaining quality.
• Organizations are customizing Agile and combining it with Waterfall to create hybrid frameworks.

3. Automation in QA and Testing

• Only 14–18% of test activities are automated, making automation a critical bottleneck.
• 57% of respondents have AI projects for QA and testing, either in place or planned.
• 45% use AI for intelligent automation, 36% for predictive analytics, and 35% for descriptive analytics.

4. Test Data and Environment Challenges

• 58% of respondents still use manually generated test data.
• 66% use spreadsheets for test data generation, and 62% use copies of production data.
• 31% of testing is done in permanent environments, and 50–60% of organizations face challenges in test data and environment management.

5. Emerging Technologies

• IoT adoption has increased from 83% to 97%.
• Blockchain is being used or planned by 60% of respondents.
• AI, ML, and analytics are converging to enable smarter automation and self-learning systems.

6. Cost Trends

• Average QA and testing spend is 26% of IT budgets, the same as last year.
• There has been a stabilization of spending, but a new wave of investments is expected in test environment virtualization, data management, automation, and analytics.

Key Challenges

• Low levels of automation hinder the maturity of QA and testing.
• Test data and environment management remain significant bottlenecks.
• Skills gaps are widespread, with a need for new expertise in AI, analytics, and DevOps.
• Regulatory and infrastructural constraints such as GDPR and IFRS 9 affect data handling and testing processes.

Recommendations

1. Increase Automation Levels

• Implement a phased approach to automation:
  • First, optimize testing.
  • Second, implement basic automation.
  • Third, adopt intelligent and self-adaptive automation solutions.

2. Adopt a Non-Siloed Approach

• Move towards centralized test environment and data provisioning.
• Focus on lifecycle automation to integrate testing and environment management.
• Build self-provisioning, self-monitoring, and self-healing environments and data systems.

3. Develop New QA Skills

• Prioritize agile test specialists with functional automation and domain knowledge.
• Reskill or attract SDETs with advanced automation, white box testing, and orchestration skills.
• Ensure niche QA skills such as security, non-functional testing, and data management.
• Develop AI and ML expertise to support intelligent automation and self-learning systems.

Conclusion

The World Quality Report 2018-19 highlights the transformation of QA and testing into a strategic function that is critical for digital transformation, customer satisfaction, and business outcomes. It outlines the challenges faced by organizations, including low automation levels, data and environment management issues, and the need for new skills. The report also provides actionable recommendations to help organizations overcome these challenges and move towards more mature, efficient, and intelligent QA and testing practices.