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Perforce:2026年DevOps现状调查报告:AI在测试中的应用(英文版)(19页).pdf

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1、 Perforce Software,Inc.All trademarks and registered trademarks are the property of their respective owners.(0220KS26)R E P O R TState of DevOps Report:AI in Testing Edition 2026A look at governance,cost,and continuous quality.State of DevOps Report:AI in Testing Edition 20262 Perforce Software,Inc.

2、All trademarks and registered trademarks are the property of their respective owners.(0220KS26)Table of ContentsExecutive Summary.3Research Methodology&Respondent Profile.4Introduction.5Message from Perforce.6Chapter 1:The Current State of Testing.7Chapter 2:The Role of AI in Testing.9Chapter 3:The

3、Trade-Offs of AI-Powered Testing.11Chapter 4:Evolving Roles and Responsibilities.13Chapter 5:Governance and Compliance in Testing.14Chapter 6:Measuring the Business Value of Testing.15Chapter 7:Regional and Industry Variations.17Chapter 8:Recommendations for the Future of Testing.18Bottom Line.19Sta

4、te of DevOps Report:AI in Testing Edition 2026R E P O R T3 Perforce Software,Inc.All trademarks and registered trademarks are the property of their respective owners.(0220KS26)Executive Summary Key Findings Hybrid testing infrastructures are increasingly common,driving the need for consistent orches

5、tration and reporting across diverse environments.AI adoption is growing,spanning test creation,execution optimization,and analysis.While respondents report operational benefits,challenges persist in cost attribution and governance maturity.Quality ownership is evolving:developers are taking on more

6、 test authoring,while QA teams focus on analytics,orchestration,and governance.Progress is being made in compliance automation and secure-by-default practices,but skills gaps and time constraints remain significant barriers.Measurement is shifting from execution metrics to business outcomes like ret

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1. **混合测试基础设施主导**:63%组织采用混合云和本地部署模式,需标准化跨环境编排与报告。 2. **AI测试普及但成本上升**:44%组织已集成AI工具,51%报告总成本增加,仅43%能全面追踪AI测试成本。 3. **角色转变**:55% QA团队聚焦质量分析,53%开发者直接编写测试,QA转向治理与编排。 4. **合规与安全挑战**:仅39%实现合规自动化,44%因技能不足或时间压力阻碍安全实践。 5. **业务价值导向**:50%通过测试提升客户留存,48%加速功能交付,39%追踪验证发布周期。 6. **建议**:需建立成本追踪框架、明确质量所有权、强化AI治理,并从执行指标转向业务成果(如留存、收入)。
AI测试成本高吗? 测试角色如何转变? 如何衡量测试价值?
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